{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Statistics in Python\n",
"\n",
"In this section, we will cover how you can use Python to do some statistics. There are many packages to do so, but we will focus on four:\n",
"\n",
"- [pandas](https://pandas.pydata.org/)\n",
"- [scipy's stats module](https://docs.scipy.org/doc/scipy/reference/stats.html)\n",
"- [statsmodels](http://www.statsmodels.org/stable/index.html)\n",
"- [seaborn](seaborn.pydata.org).\n",
"\n",
"This notebook is strongly based on the [scipy-lectures.org](http://www.scipy-lectures.org/packages/statistics/index.html) section about statistics."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Data representation and interaction\n",
"\n",
"## Data as a table\n",
"\n",
"The setting that we consider for statistical analysis is that of multiple *observations* or *samples* described by a set of different *attributes* or *features*. The data can than be seen as a 2D table, or matrix, with columns giving the different attributes of the data, and rows the observations. For instance, the data contained in `data/brain_size.csv`:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\"\";\"Hair\";\"FSIQ\";\"VIQ\";\"PIQ\";\"Weight\";\"Height\";\"MRI_Count\"\r\n",
"\"1\";\"light\";133;132;124;\"118\";\"64.5\";816932\r\n",
"\"2\";\"dark\";140;150;124;\".\";\"72.5\";1001121\r\n",
"\"3\";\"dark\";139;123;150;\"143\";\"73.3\";1038437\r\n",
"\"4\";\"dark\";133;129;128;\"172\";\"68.8\";965353\r\n",
"\"5\";\"light\";137;132;134;\"147\";\"65.0\";951545\r\n",
"\"6\";\"light\";99;90;110;\"146\";\"69.0\";928799\r\n",
"\"7\";\"light\";138;136;131;\"138\";\"64.5\";991305\r\n",
"\"8\";\"light\";92;90;98;\"175\";\"66.0\";854258\r\n",
"\"9\";\"dark\";89;93;84;\"134\";\"66.3\";904858\r\n"
]
}
],
"source": [
"!head data/brain_size.csv"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"
\n",
"\n",
"\n",
"## The pandas data-frame\n",
"\n",
"### Creating dataframes: reading data files or converting arrays\n",
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"#### Reading from a CSV file\n",
"Using the above CSV file that gives observations of brain size and weight and IQ (Willerman et al. 1991), the data are a mixture of numerical and categorical values::"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"data.plot(lw=0, marker='.', subplots=True, layout=(-1, 2), figsize=(15, 6));"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"\n",
"### _Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy._\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"- ANOVAs: one- and two-ways, repeated measures, mixed, ancova\n",
"- Post-hocs tests and pairwise comparisons\n",
"- Robust correlations\n",
"- Partial correlation, repeated measures correlation and intraclass correlation\n",
"- Linear/logistic regression and mediation analysis\n",
"- Bayesian T-test and Pearson correlation\n",
"- Tests for sphericity, normality and homoscedasticity\n",
"- Effect sizes and power analysis\n",
"- Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient\n",
"- Circular statistics\n",
"- Plotting: Bland-Altman plot, Q-Q plot, etc..."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"**Pingouin is designed for users who want simple yet exhaustive statistical functions.**\n",
"\n",
"\n",
"##### **material scavenged from [10 minutes to Pingouin](https://pingouin-stats.org/index.html) and [the pingouin docs](https://pingouin-stats.org/api.html)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"import pingouin as pg"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"[Measures of correlation](https://pingouin-stats.org/generated/pingouin.corr.html#pingouin.corr)\n",
"\n",
"\"In the broadest sense correlation is any statistical association, though in common usage it most often refers to how close two variables are to having a linear relationship with each other\" - [Wikipedia](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient)\n",
"\n",
"When talking about correlation, we commonly mean the Pearson correlation coefficient, also referred to as Pearson's r\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
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" n r CI95% r2 adj_r2 p-val BF10 \\\n",
"pearson 40 0.947 [0.9, 0.97] 0.896 0.891 2.789130e-20 2.120526e+17 \n",
"\n",
" power \n",
"pearson 1.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pearson_correlation = pg.corr(data['FSIQ'], data['VIQ'])\n",
"display(pearson_correlation)\n",
"cor_coeeficient = pearson_correlation['r']\n",
"n = len(data) # sample size"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Test summary\n",
"\n",
"- 'n' : Sample size (after NaN removal)\n",
"- 'outliers' : number of outliers (only for 'shepherd' or 'skipped')\n",
"- 'r' : Correlation coefficient\n",
"- 'CI95' : [95% parametric confidence intervals](https://en.wikipedia.org/wiki/Confidence_interval)\n",
"- 'r2' : [R-squared](https://en.wikipedia.org/wiki/Coefficient_of_determination)\n",
"- 'adj_r2' : [Adjusted R-squared](https://en.wikipedia.org/wiki/Coefficient_of_determination#Adjusted_R2)\n",
"- 'p-val' : one or two tailed p-value\n",
"- 'BF10' : Bayes Factor of the alternative hypothesis (Pearson only)\n",
"- 'power' : achieved power of the test (= 1 - type II error)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Before we calculate: `Testing statistical premises`\n",
"\n",
"Statistical procedures can be classfied into either [`parametric`](https://en.wikipedia.org/wiki/Parametric_statistics) or `non parametric` prcedures, which require different necessary preconditions to be met in order to show consistent/robust results. \n",
"Generally people assume that their data follows a gaussian distribution, which allows for parametric tests to be run.\n",
"Nevertheless it is essential to first test the distribution of your data to decide if the assumption of normally distributed data holds, if this is not the case we would have to switch to non parametric tests."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### [Shapiro Wilk normality test](https://pingouin-stats.org/generated/pingouin.normality.html#pingouin.normality)\n",
"\n",
"Standard procedure to test for normal distribution. Tests if the distribution of you data deviates significtanly from a normal distribution.\n",
"returns:\n",
"- normal : boolean\n",
" True if x comes from a normal distribution.\n",
"\n",
"- p : float\n",
" P-value.\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ True False] [1. 0.008]\n"
]
}
],
"source": [
"# Return a boolean (true if normal) and the associated p-value\n",
"normal, p = pg.normality(data['Height'], data['VIQ'], alpha=.05)\n",
"print(normal, p)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### [Henze-Zirkler multivariate normality test](https://pingouin-stats.org/generated/pingouin.multivariate_normality.html#pingouin.multivariate_normality)\n",
"\n",
"Same procedure for [multivariate normal distributions](https://en.wikipedia.org/wiki/Multivariate_normal_distribution)\n",
"\n",
"returns \n",
"\n",
"- normal : boolean\n",
" True if X comes from a multivariate normal distribution.\n",
"\n",
"- p : float\n",
" P-value."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True 0.7523511059223016\n"
]
}
],
"source": [
"# Return a boolean (true if normal) and the associated p-value\n",
"np.random.seed(123)\n",
"mean, cov, n = [4, 6], [[1, .5], [.5, 1]], 30\n",
"X = np.random.multivariate_normal(mean, cov, n)\n",
"normal, p = pg.multivariate_normality(X, alpha=.05)\n",
"print(normal, p)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### [Mauchly test for sphericity](https://pingouin-stats.org/generated/pingouin.sphericity.html#pingouin.sphericity)\n",
"\n",
"\"Sphericity is the condition where the variances of the differences between all combinations of related groups (levels) are equal. Violation of sphericity is when the variances of the differences between all combinations of related groups are not equal.\" - https://statistics.laerd.com/statistical-guides/sphericity-statistical-guide.php\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"returns \n",
"\n",
"- spher : boolean\n",
" True if data have the sphericity property.\n",
"\n",
"- W : float\n",
" Test statistic\n",
"\n",
"- chi_sq : float\n",
" Chi-square statistic\n",
"\n",
"- ddof : int\n",
" Degrees of freedom\n",
"\n",
"- p : float\n",
" P-value."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(False, 0.0, 3069.927, 20, 0.0)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pg.sphericity(data)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### [Testing for homoscedasticity](https://pingouin-stats.org/generated/pingouin.homoscedasticity.html#pingouin.homoscedasticity)\n",
"\n",
"\"In statistics, a sequence or a vector of random variables is homoscedastic /ˌhoʊmoʊskəˈdæstɪk/ if all random variables in the sequence or vector have the same finite variance.\" - [wikipedia](https://en.wikipedia.org/wiki/Homoscedasticity)\n",
"\n",
"returns:\t\n",
"- equal_var : boolean\n",
" True if data have equal variance.\n",
"\n",
"- p : float\n",
" P-value.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"*Note:\n",
"This function first tests if the data are normally distributed using the **Shapiro-Wilk test**. If yes, then the homogeneity of variances is measured using the **Bartlett test**. If the data are not normally distributed, the **Levene test**, which is less sensitive to departure from normality, is used.*"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.2729265592243306 0.6022425373276372\n",
"False 0.0\n"
]
}
],
"source": [
"np.random.seed(123)\n",
"# Scale = standard deviation of the distribution.\n",
"array_1 = np.random.normal(loc=0, scale=1., size=100)\n",
"array_2 = np.random.normal(loc=0, scale=0.8,size=100)\n",
"print(np.var(array_1), np.var(array_2))\n",
"\n",
"equal_var, p = pg.homoscedasticity(array_1, array_2, alpha=.05)\n",
"print(equal_var, p)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Parametric tests\n",
"## Student's t-test: the simplest statistical test\n",
"\n",
"### 1-sample t-test: testing the value of a population mean\n",
"\n",
"tests if the population mean of data is likely to be equal to a given value (technically if observations are drawn from a Gaussian distributions of given population mean).\n",
"\n",
"\n",
"`pingouin.ttest` returns the T_statistic, the p-value, the [degrees of freedom](https://en.wikipedia.org/wiki/Degrees_of_freedom_(statistics), the [Cohen d effect size](https://en.wikiversity.org/wiki/Cohen%27s_d), the achieved [power](https://en.wikipedia.org/wiki/Power_(statistics%29) of the test ( = 1 - type II error (beta) = [P(Reject H0|H1 is true)](https://deliveroo.engineering/2018/12/07/monte-carlo-power-analysis.html)), and the [Bayes Factor](https://en.wikipedia.org/wiki/Bayes_factor) of the alternative hypothesis\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
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"metadata": {},
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}
],
"source": [
"pg.ttest(data['VIQ'],0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### 2-sample t-test: testing for difference across populations\n",
"\n",
"We have seen above that the mean VIQ in the black hair and white hair populations\n",
"were different. To test if this is significant, we do a 2-sample t-test:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"light_viq = data[data['Hair'] == 'light']['VIQ']\n",
"dark_viq = data[data['Hair'] == 'dark']['VIQ']"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pg.ttest(light_viq, dark_viq)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Plot achieved power of a paired T-test\n",
"\n",
"Plot the curve of achieved power given the effect size (Cohen d) and the sample size of a paired T-test."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
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ff/8d8+fPR2BgINavX4/58+fj7du30NPTw9SpU7/4uQUCAX7++Wfs2LEDPj4+ePnyJRo2bAgjIyPu2/h7Tk5OOHToEBo1aoSePXtKrBs6dCjq16+PvXv3wt/fH8rKymjRooXE3d6LFi2CSCTiLld0dHSEi4sL/vzzz0/mnDlzJm7duoX169ejQYMGWLBgAXcPi0AgwM6dO+Hj44Np06ZBJBLBzMwMBw4ckDgHbWpqCg0NDejp6XHtlpaWYIyhc+fOUFVV5ba1trZGQEAAduzYgbFjx4IxhubNm8PW1hZ16nzefyU1NTXs378fPj4+GDduHPe8+/btk3hOPnx8fLBy5UqMGDECjRs3xvfff8+7iLm5uWHr1q2IjY1Fy5YtsWvXLu6IddSoUYiNjcWyZctQUlKC3r17Y/bs2fDy8vqsfADg5eWFAwcOYPfu3UhOToaGhgbatWvHHSm+/315enrCxcUFWlpa+P7773ldfv25+vbtCwcHB0ybNg2vX7/Gjz/+yL2uijI2bNgQv/zyC3bv3o38/Hw0b94cM2bM4PpBzMzMMGHCBKxcuRJZWVkYOnQofH19Kz2/vAkYn14tQhSMoaEh/Pz8pPYvkE8LCwvDhAkTcPXq1Uo7rUlqBzo9RQghhDcqGoQQQnij01OEEEJ4oyMNQgghvNXoolFSUoLk5GSUlJTIOwohhNQINbpopKeno0+fPp+cgIgQQgg/NbpoEEIIqVxUNAghhPBWpUXj4sWLcHV1RZcuXXhNi5iQkIDx48fDzMwM9vb25U5CQwghpGpUadEoKCiAtbU1ryEuiouLMW3aNOjo6OD48eOYMWMGPD09cefOnSpISgghRJoqHXvq/ZAPYWFhn9z22rVrePHiBU6dOoV69epBKBQiPDwcgYGBsLS0lHVUQgghUijsgIUREREwMzPjJsAB3o2EuWXLFqnbv3nzBm/evJFoo6umCCGkcils0cjKyoKOjo5Em7a2drmzzb0ffZQQQmqz4OBg+Pr6IjU1Fbq6unB3d4ezs3Ol7V9hi8bnjm7i6uoKJycnibb09HSJSXoIIURRyOLDPTg4GG5ubigoKADwbtKs99MOVFbhUNiioaOjg+fPn0u0STv6eE9TUxOamppVEY0QUstU9gd8eR/uIpEI9vb2yMvLK/MzaNAgqKioICQkBGFhYVi2bBkAYPv27QgJCUFeXh5iY2PLTMBVUFAAX1/fml80zMzMcOjQIRQUFHBz9oaGhqJjx45yTkYIqU0+99u7WCzGmzdvkJ2dLfHTp08faGlp4dq1axL7e6+goAALFy4sN4ednR0aN26Me/fu4ddff8XSpUshEAjAGEPdunWho6ODR48eSX1samrql778Mqp0lNucnBykpaUhKioKy5cv5yZ9NzAwQExMDNzc3BAQEICmTZtCJBJhwIABMDU1xYwZM/DgwQOsWrUKBw4c4H31VHJyMvr06YOQkBBuKkZCCPkcFhYWUj90mzVrhn/++QeXL1/G1q1bueKQk5MDsVhcZvszZ86gS5cuOH36NGbOnFnu861duxb169dH/fr1oaGhgQYNGkBDQwPffPPNJ2eItLS0lDqPu56eXqXdrlClRxqXL1/G0qVLueX3c0qHhISgoKAACQkJKC4uBgCoqqrC398fK1euhLOzM5o0aYLVq1fT5baEkHJ9yWmkN2/e4N9//0V6ejrS0tKQlpbG/Ts9PR1ZWVlSH/fixQsAQJ06dVC3bl20b98eWlpa5f7o6ekBeHfrgbe3d7kf7q6url/8+t3d3cscxairq8Pd3f2L9/mxGj2fBh1pEFJ7fHwaCQDq1q2L8ePHo1WrVjAyMoKNjQ0yMjLg5OSEefPmYfjw4Xjw4AEcHR25xzRu3BjNmjVD8+bN0axZM5w+fbrM5fzA1317l5ZVXV0dfn5+ldIZXiuvniKEED6Kiorw66+/wtfXt0w/QVFREfbt2wcAmDx5MmxsbNCwYUOYmJigcePGAAChUIhTp06hWbNmaNq0KVRVVSX2YWlpWenf3t9/iMviw93Z2blSi8TH6EiDEFLlPufbcE5ODuLj41FUVIRu3boBAEaOHAlDQ0N4eXlBLBajXbt2KCwslPp4gUCA+/fvQ1tbG0pKXzZykqy/vVcndKRBCKlS5V2NlJ6eDgMDAzx9+hRPnz5FfHw8nj59yt3Q26FDB/z9998AgI4dO3J9BEpKSggPD4eDg4PUfgJdXV3uqOJLyfrbe3VCRxqEkCpV3hU+H2rcuDEMDAxgYGCANm3awMDAAG3btkWbNm3KfYws+wnI/9CRBiFEZnJzcxEREYH79+/j/v372LZtW4X3DJw7dw5t2rRBw4YNP/u5ZNlPQP6HigYhpFKIRCLExMTg3r17XJF48uQJNyTQN998g/T0dOjq6pZ7uam5uflXZaDTSLJHRYMQUq7yOoAZY0hISODuQbh48SKmT5+OoqIiAO+GATI3N8fgwYNhbm4OMzMzaGtrA6iaewmI7FDRIIRIJa3DetGiRQDeDfPTs2dPbNq0CaNGjYJQKMTEiRPRqVMndO7cGXp6ehAIBFL3S6eRqjfqCCeElFFSUoKuXbsiIyOjzDo9PT2EhoYiKCgItra29H+rlqEjDUIIgHejSF+5cgUhISG4cuUKcnJypG6XmpoKJSUljB49umoDEoVQpXOEE0IUB2MMz54945ZdXV0xe/Zs3LhxA/379+f6ID6mq6tbRQmJIqIjDUJqkby8PKirq0NZWRl+fn7w9/dHVFQU6tWrh2XLlkFdXR1mZmZQUlIq974H6rCu3ehIg5AaIjg4GJaWltDX14elpSWCg4PBGENcXBz27NmDUaNGwcTEBHfv3gUADBw4ED4+PlyHdbdu3dCpUyduqA1nZ2f4+flxndp6enp0oxz5dEd4aWkpbt++jbCwMCQlJaGwsBDa2towMTGBnZ2dQneCUUc4qS2kHRUoKytDS0sLr169AvBuYD57e3u4uLhUeGc1IRUpt2gUFRXh4MGDCAwMxOvXr2FkZIRmzZpBVVUVr1+/RmxsLF69egUbGxvMmTMHZmZmVZ39k6hokNqivKE56tatC09PT9jb26Nly5ZySEZqmnL7NBwcHCAUCrFy5Ur07NmzzHDBAPDs2TOcOXMGM2fO5MamJ4RUnZSUFMTGxpY7NIdIJMLEiROrNhSp0co90rh//z46derEaydv375FcnIyhEJhZWb7anSkQWqi0tJSKCsrAwCmT5+OmzdvQl1dXebTfBICVNAR/r5gFBcX49dff+WmNpSmXr16ClcwCKlpkpKSsG7dOlhaWiIuLg4A4ObmhgsXLsDd3R3q6uoS29OVTkQWPnnJrYqKCvz8/NCrV68qiEMI+VBxcTEuXryII0eO4OrVqxAIBOjduzdEIhEAcB3aLVq0AEBDcxDZ43WfhrGxMWJjY7lJTwghsvXs2TP89ttvOHbsGDIyMtC8eXMsWLAAo0aNKvf/IY3wSqoCr6Ixbdo0rFu3Dnl5eTA1NS1zGNy0aVOZhCOkNvrhhx9w4cIFKCsro0+fPnBxcUHv3r25fgxC5Il30QCAxYsXS4xcyRiDQCDAo0ePZJOOkBro4+HGp0yZApFIhFmzZkEgEKBDhw4wNjbGqFGj0Lx5c3nHJUQCr1FuP3X1haWlZaUFqkx09RRRNNJuwlNRUUFJSQmuXLmCtm3byjEdIZ/G60hDUYsCIdWNr6+vRMEA3nV2N2/enAoGqRZ4D1iYk5ODI0eOIC4uDgKBAO3atcPo0aPRqFEjGcYjpGYQi8U4f/681HspACA9Pb2KExHyZXgNWBgVFYX+/fvjyJEjKCoqQkFBAQIDA/Htt98iOjpa1hkJqdauXbuGAQMGYPr06ahTR/r3NBpunFQXvI401q1bh+7du2PdunXccCIikQhubm7w8fHB4cOHZRqSkOro/v378PHxwY0bN6Cvr48tW7ZAIBDA3d2dhhsn1RavohEREYHjx49LjD+lqqqKmTNnYuTIkTILR0h19e+//2LQoEHQ1tbGTz/9hPHjx6Nu3boAACUlJboJj1RbvIqGqqoq8vLyyrTn5eVJHciQkNooNTWVO5Vrbm4OHx8fODs7o379+hLb0U14pDrj1adha2uL1atXIz4+nmt7+vQpvLy80KNHD5mFI6Q68fb2xvz581FQUACBQIAJEyaUKRiEVHe87tPIyMjAzJkzERUVhUaNGkEgECA7OxumpqbYtWsXGjduXBVZPxvdp0Fk6e3bt9i/fz8cHBzQrl07JCcngzHGjQNFSE30ydNTYrEYr1+/xqFDhxAREcGNrtm2bVt069ZN5gEJUTTFxcU4cuQItmzZgpcvX3KXoNMXE1IbfLJoCAQCDB06FOfPn0e3bt2oUJBa4+PhPpYsWYI6derAz88Pz549g6WlJfbs2QMLCwt5RyWkyvAqGi1atMDr16+rIg8hCuHj4T5SUlIwd+5cMMbQvn17BAQEoE+fPhJjsRFSG/DqCJ89ezbWr19f4URMhNQk0ob7YIxBS0sLf/31F/r27UsFg9RKvC65fX/utnfv3tDR0UG9evUk1v/1118yCUeIvJQ353ZOTg4NUU5qNV5FY/DgwZX2hP7+/jh8+DByc3PRvXt3eHl5QUdHR+q2ISEh2L59OxISEtCwYUN8++23WLx4Md0bQmQqJSUF9evXR25ubpl1NNwHqe0+WTSKi4vx9u1buLi4fPXMfSdOnMDu3bvh5+cHfX19rF27FgsWLEBAQECZbRMTEzF37lzMnz8f/fv3R3JyMtzd3dGgQQPMmTPnq3IQUpFLly6hqKgIdevWRVFREddOw30QwqNPQ0VFBb/99ht43M7xSYGBgZg0aRL69euH9u3bY+3atQgNDUVsbGyZbR8+fAgNDQ18//33aNGiBbp164bvvvsODx8+/OochHwsJycHYWFhAIAJEybg5s2b2LBhA/T09CAQCKCnpwc/Pz+6k5vUerw6wi0sLHDv3r2veiKRSISYmBhYW1tzbS1atICenh4ePHhQZnsTExPk5+fj0qVLYIwhLS0N169fR/fu3aXu/82bN0hOTpb4eT/c9KtbtwEA4pISRHp44uWVqwCA0qIiRHp4IuP6TQBASX4+Ij08kXk7FABQ/OYNIj08kXUn/N1ryM5GpIcnsv99914UZbxCpIcncu6/y1+Yno5ID0+8jnpX2N4mpyDSwxNvHsUAAPKfJyLSwxO5T97d65IXn4BID0/kxScAAHKfxCHSwxP5zxPfvaZHMYj08MTb5HfDab+OeohID08U/v/ryrn/AJEenijKeAUAyP73HiI9PCHKzgYAZN0JR6SHJ4rfvAEAZN4ORaSHJ0ry8wEAGddvItLDE6X//2365ZWriPTwhLikBADwIuQyIj08ufc4/eLfiFqxiltOu/AnHv60hltOPXsO0Wt8uOWUk6cR4+vHLScfD8bj9Zu45aRjvyN201Zu+fmvv+HJ1h3c8rNfAhG382duOeFgAJ7u3sstx+87gPh9B7jlp7v3IuHg/45a43b+jGe/BHLLT7buwPNff+OWYzdtRdKx33Hjxg307dsXt5ctR8LRYxAIBNDV1UWH2DicXOqB5ORk3LlzB0bRj5F69hz3+Ic/rUHahT+55agVq5B+8W9uOdLDEy9CLgOgvz3625P+t/fe4/WbkHw8mFuO8fVDysnT3HL0Gp8q/durCK8+jUGDBmHjxo1ISUmROkd4586dP7mP7OxsiMXiMv0X2trayMrKKrN9ixYt8PPPP3PDMpSUlGDMmDGYMGGC1P0HBARgx44dUtcRIk1paSku//cylp09AwMDA3Sz7gaVOiryjkWIQuM1jIiRkVH5O+A5R/iLFy9gZ2eHCxcuwMDAgGsfPnw4+vXrx81D/uH2Li4uGDlyJOzs7JCamgpvb2+MGzcOkyZNKrP/N2/e4M1HFTI9PR0uLi40jAgpIzo6GrNnz0ZMTAxcXV2xYsWKMl+GCCFl8TrSCAkJ+eon0tLSgpKSEjIzMyWKRlZWFrS1tctsf+TIEbRs2RJTp04F8K5w5efnw8fHR2rR0NTUhKam5lfnJDWbWCzGnj17sG7dOjRq1AiHDx+Gvb29vGMRUm3wKhpfe9UU8G54dSMjI4SFhXFzjiclJSElJQUdO3Yss31hYSGUlCS7XJSUlCAWi786C6mdUlJSMG/ePNy6dQsODg5Yv3691C8shJDy8eoIB4DQ0FD8+OOPGDRoENfB/Pvvv3NXnPDh4uKCgwcP4tKlS4iJiYGHhwesrKwgFAoREREBBwcH7q7znj174ubNmwgMDERSUhJu376NrVu3onfv3p/5Egl5Jzs7G9HR0di4cSP27dtHBYOQL8DrSOPvv//GggULMGjQIDx79gzFxcUAgKKiIuzbtw9WVla8nmz48OHIzMzEqlWrkJubCxsbG3h5eQEACgoKkJCQwO3bxsYGa9euxYEDB7B+/Xo0bNgQffr0wcKFC7/kdZJaKicnB3/88QfGjBkDExMT3LlzBxoaGvKORUi1xasj3NnZGWPGjMGIESNgbm6OM2fOoEWLFnj48CGmTZuGGzduVEXWz0bzaZCtW7di06ZNuHLlClq3bi3vOIRUe7xOT8XHx0sdEl1TU5NGvyVyFxwcDEtLS+jr68PS0hJBQUHcvC8zZszA+fPnqWAQUkl4nZ7S1NRERkZGmW/rjx8/RtOmTWUSjBA+pA1hvmDBAjRs2BD//PMP1NTUYGJiIueUhNQcvI40+vfvj82bNyMvL49ri4uLw4YNG+Do6CizcIR8SnlDmCsrK0NNTU1OqQipuXgVjQULFoAxhu7du6OwsBDDhw/HoEGDoKenhx9//FHWGQkpV3lDmEsbZYAQ8vV4nZ6qV68eDh8+jLCwMERFRUEsFsPExISmfiVy17x5c6mFg4YwJ0Q2eBWN96ysrHhfXkuIrL169UrqhEg0hDkhssP75j5CFMnbt28xZMgQZGRkYOrUqTSEOSFV5LOONAhRFPXq1cPEiRNhbm6Orl27YuXKlfKOREitQEWDVCvXrl2DmpoaLC0t8cMPP8g7DiG1DhUNUm2UlpZi9erVaNiwIY4fPw6BQCDvSITUOlQ0SLVQWloKZWVlBAQEoH79+lQwCJGTCovG5MmTee3kwIEDn96IkC8gFovh7e2NFy9eYNu2bZUyTD8h5MtVWDRoiBAiTyKRCAsXLkRwcDBcXV3BY2xNQoiMVVg0fHx8KlpNiMzk5+fjhx9+wNWrV+Hm5oY5c+bQKSlCFAD1aRCF8+rVK0yYMAFRUVHYuHEjRo8eLe9IhJD/V2HRWLFiBa+dvJ9IiZCv9ezZM7i4uCA9PR379+9Hv3795B2JEPKBCovGs2fPPrkDOmVAKktkZCTGjRuHkpISHDt2DF27dpV3JELIRyosGocPH66qHKSWY4xh5cqVqFu3Lk6cOIG2bdvKOxIhRArq0yByJxaLoaSkhJ9//hlisRjNmzeXdyRCSDlowEIiV3v37sWUKVNQUlKCpk2bUsEgRMFR0SBV6uP5vB8+fAhlZWWUlJTIOxohhAcqGqTKvJ/POyUlBYwxpKSk4Ny5c/juu+9oalZCqgkqGqTKSJvPu6CgAL6+vnJKRAj5XLyLhkgkQkhICA4cOIDc3FwAQHJyMt68eSOzcKRmKW8+7/LaCSGKh9fVU6mpqZg8eTLS09MhEonQr18/NGjQAAEBASgqKsLq1atlnZPUABoaGsjLyyvTTvN5E1J98DrS8PHxgZGREe7cuYO6dety7X369EFYWJjMwpGaY+/evcjLyyszpzfN501I9cKraNy9exezZs2CqqqqRLu+vj5evHghk2Ck5jhz5gx++uknODo6YtOmTTSfNyHVGK/TU4WFhVBRUSnTnpWVJXHkQcjHbt++jblz58LCwgLbtm2Duro6hg8fLu9YhJAvxOtIo3Pnzjh37lyZ9l9++YXGByLlysnJwZQpU9CqVSscOHAA6urq8o5ECPlKvI405s+fj/HjxyMhIQGlpaXYs2cPHj9+jKdPn+Lo0aOyzkiqqUaNGsHPzw8dO3aElpaWvOMQQioBryMNExMT/P7771BVVUXLli3xzz//4JtvvkFQUBDatWsn64ykmnn9+jXu3LkDABgwYAD09fXlnIgQUll4D1jYtm1bmsmP8OLt7Y2TJ08iLCwM2tra8o5DCKlEvItGUVERzp49i6dPnwIADAwMMHDgQBr+gZTh4eEBR0dHKhiE1EACxhj71EbR0dGYNm0a8vLyYGBgAMYY4uPjoaGhgT179qBDhw5VkfWzJScno0+fPggJCaFTJFXg999/x8CBA6nDm5AajFefxsqVK2FsbIyrV6/i+PHjOHHiBK5evQoTExOsXLlS1hlJNeDv74958+bhyJEj8o5CCJEhXkXj8ePHWLBgATQ1Nbk2TU1NzJ8/H48fP/6sJ/T394etrS06duyImTNnIjMzs9xtS0pKsG3bNvTq1QsmJib49ttvcfPmzc96PiJ7p0+fxurVqzFgwABMnDhR3nEIITLEq0+jZcuWUgcmzM3N/azTPidOnMDu3bvh5+cHfX19rF27FgsWLEBAQIDU7T09PfHw4UN4e3ujVatWSEtLQ8OGDXk/H5G9mzdvYt68ebCyssK2bdvKDBNCCKlhGA+3bt1iTk5OLDQ0lBUWFrLCwkIWGhrKhg0bxm7evMlnF4wxxoYOHcq2bt3KLScmJjKhUMgeP35cZtuYmBjWoUMHlpiYyHv/H0tKSmJCoZAlJSV98T5I+aKjo5mhoSHr1asXy87OlnccQkgV4HWkMWXKFIjFYqmnHqZOnSqxHBUVJXUfIpEIMTExWLp0KdfWokUL6Onp4cGDBxAKhRLbX716FS1btsSFCxdw5MgRqKurY/DgwZg2bZrUb7Nv3rwpczSUnp7O5+WRL5CSkoJx48ZBQ0MDgYGBaNSokbwjEUKqAK+i4eXlBYFA8FVPlJ2dDbFYDB0dHYl2bW1tZGVlldk+OTkZSUlJuHHjBrZt24aXL1/C09MTKioq+OGHH8psHxAQgB07dnxVRsJPTk4Oxo0bh/z8fAQHB0NPT0/ekQghVYRX0ZDHKKSMMRQXF8PX15f7UEpNTcWRI0ekFg1XV1c4OTlJtKWnp8PFxaVK8tYmGzZsQEJCAn799VeFvdyaECIbvIrGhAkTMGrUKPTr16/M8Oh8aWlpQUlJCZmZmTAwMODas7KypN4EpqOjA1VVVYlvsa1bty73lJOmpqbE1V1EdpYtW4bvvvsO3bt3l3cUQkgV43XJrZ6eHpYvXw47Ozv4+vpyd4V/DlVVVRgZGUlM2pSUlISUlBR07NixzPadOnWCSCSSKBKJiYlo3rz5Zz83+XqMMQQGBiIvLw/16tWjgkFILcV75r4bN25g3rx5CA8Px4ABAzB27FicPn0aIpGI95O5uLjg4MGDuHTpEmJiYuDh4QErKysIhUJERETAwcGBm9TJ1tYWBgYGWL58OZ48eYJbt27B398fo0aN+rJXSr7K48ePsWzZMgQGBso7CiFEjngNI/KxmJgYBAUF4fjx41BTU8OQIUMwYcIEtGjR4pOP9ff3x+HDh5GbmwsbGxt4eXmhcePGCAsLw4QJEySG/EhKSsKqVatw9+5d6OjoYMSIEZg6dSrvewFoGJEvFxwcDF9fX6SmpkJXVxfu7u4wMDCAqakplJR4fdcghNRAn100cnNzcfr0aRw7dgwJCQno1asXXrx4gUePHsHDwwNjxoyRVdbPRkXjywQHB8PNzQ0FBQVcm7q6Ok3NSgjhXzTu3r2LoKAgXLx4Edra2hgxYgSGDx+OJk2aAACCgoKwceNGiT4LeaOi8WUsLS2RkpJSpl1PT4+bJ4MQUjvxunrKwcEBycnJ6NGjB7Zu3Qo7O7sy92307dsXnp6eMglJqlZqaupntRNCag9eRWPAgAEYOXIkmjZtWu422traiImJqbRgRH50dXWlHmno6urKIQ0hRJHw6tEUCARS74EoLCyku7BrIBsbmzJt6urqcHd3l0MaQogi4VU0du7cibdv35ZpLygowM6dOys9FJGfqKgonD59Gh06dICenh4EAgH09PSoE5wQAoDn6SnGmNSxp54/f053Ydcg+fn5mDFjBrS1tXHs2DGarpUQUkaFRcPe3h4CgQACgQDDhg2TuD5fLBYjIyMDDg4OMg9Jqsby5cvx7NkzBAUFUcEghEhVYdEYMWIEGGPYtm0bBg4ciHr16nHrVFRUoK+vj759+8o8JKkaLi4u6NixI7p16ybvKIQQBVVh0ZgxYwYAoHnz5hgwYMAXD1ZIFFtBQQHU1dXRtWtXdO3aVd5xCCEKjFdHuJOTExWMGqqgoACDBg3C5s2b5R2FEFIN0CBCtZySkhKsra2ljjRMCCEf43X1FKmZGGOoW7cu1qxZI+8ohJBqgo40aqnnz5/DwcEBDx8+lHcUQkg1QkWjFhKJRJg5cyYSExPpPhtCyGf57KIxaNAgpKWlySILqSK+vr64f/8+Nm7cyGsOFEIIee+zi0ZycjJKSkpkkYVUgUuXLsHf3x+urq5wdHSUdxxCSDVDp6dqkdTUVMybNw8dOnSgYewJIV/ks4uGnp4e6tShi66qm5KSEsyePRtFRUX4+eefoaamJu9IhJBq6LM//c+dOyeLHETGtmzZgtDQUGzZsgVt27aVdxxCSDVFp6dqgadPn2Lr1q0YMWIERowYIe84hJBqjM4z1QIGBgY4cOCA1MmVCCHkc9CRRg0mFovx5MkTAEC/fv2goaEh50SEkOqOikYNdujQIfTr1w+PHj2SdxRCSA1Bp6dqMCcnJ4hEIhgZGck7CiGkhviqI43Xr1/j1KlTlRSFVJa8vDyIRCJoaWlh+vTpUqfqJYSQL/FVRSMtLQ1Lly6trCykEjDGMG/ePIwaNQqlpaXyjkMIqWEqPD314sWLCh+cmZlZqWHI1wsICMAff/yBFStWQFlZWd5xCCE1TIVFo2fPnhWe2mCM0akPBRIVFYWffvoJ9vb2mDp1qrzjEEJqoAqLhoaGBmbMmAEzMzOp658/f05jGMlZcHAwfH19kZqaCiUlJWhoaGDr1q1QUqIL4wghla/ComFkZAQlJSVYWlpKXU9zMchXcHAw3NzcUFBQAAAoLS1FYWEhrly5AmdnZzmnI4TURBV+He3Rowfy8/PLXd+wYUMMHTq0sjMRnnx9fbmC8Z5IJIKvr6+cEhFCajoBY4zJO4SsJCcno0+fPggJCYG+vr6841Q6fX19SPv1CQQCJCcnyyERIaSmoxPf1Ziuru5ntRNCyNcqt2hERUXx3klRURGePn1aKYEIf+7u7lBXV5doU1dXh7u7u5wSEUJqunKLxsyZMzFr1ixcv34dYrFY6jYvXrzAnj170L9/f/z7778yC0nKevPmDaysrODn5wc9PT0IBALo6enBz8+POsEJITJT7tVTf/75J/bs2YPFixejqKgIHTp0QNOmTVG3bl3k5OQgLi4OycnJsLS0xMaNG9G1a9eqzF3r+fr64tSpU7h9+zYVCUJIlflkR7hIJMK1a9cQHh6O5ORkFBYWQltbG8bGxujRowcMDAw+6wn9/f1x+PBh5Obmonv37vDy8oKOjk6Fj4mKisKoUaPQuXNnHD58mPdz1eSO8MTERNy6dQujR4+WdxRCSC1SpVdPnThxAmvWrIGfnx/09fWxdu1aKCkpISAgoNzHiEQiDBs2DDo6OigtLa31RaOkpATKysp0Jz4hRC6q9OqpwMBATJo0Cf369UP79u2xdu1ahIaGIjY2ttzHbN68GVZWVujSpUsVJlVc69atg6urK4qLi+UdhRBSC1VZ0RCJRIiJiYG1tTXX1qJFC+jp6eHBgwdSH/PPP//g8uXLWLhw4Sf3/+bNGyQnJ0v8pKenV1p+RRAREYHdu3fjP//5D1RUVOQdhxBSC1XZJEzZ2dkQi8Vl+i+0tbWRlZVVZvuCggIsW7YMXl5eZS4rlSYgIAA7duyotLyKpri4GAsXLkSTJk2wYsUKecchhNRSCjtz38aNG2Fra1vuuFcfc3V1hZOTk0Rbeno6XFxcZBGvyu3evRvR0dHYt28fGjZsKO84hJBa6pNFo7i4GEFBQejbty+aNm36xU+kpaUFJSUlZGZmSlxxlZWVBW1t7TLbh4eH48mTJ/jtt98AAGKxGIwxdOjQAX///Tf09PQkttfU1KyxAyjGxcVh8+bNcHR0xHfffSfvOISQWuyTRUNFRQV+fn7o1avXVz2RqqoqjIyMEBYWxh09JCUlISUlBR07diyz/fbt21FYWMgtHzlyBJGRkfDx8cF//vOfr8pSnYjFYixevBhqamrw9vaWdxxCSC3HqyPc2Ni4wiuc+HJxccHBgwdx6dIlxMTEwMPDA1ZWVhAKhYiIiICDgwM3W2DLli0hFAq5Hx0dHdSrVw9CobBWdQIfPnwYd+7cwcqVK2tVsSSEKCZefRrTpk3DunXrkJeXB1NT0zId03xPWw0fPhyZmZlYtWoVcnNzYWNjAy8vLwDvOr4TEhLoUtIPpKamwtvbGz169MDIkSPlHYcQQvjd3GdkZPS/B3xwU9n76V4fPXokm3Rfqbrf3CcSibBz5044OzujVatW8o5DCCH8jjR++eUXWecgH2GMQVVVFfPnz5d3FEII4fAqGnwveyWVIysrC2PHjsWqVaskboYkhBB5431HeHx8PHx8fDB9+nRkZGQAAEJCQhATEyOzcLXV+5sdGzVqJN8ghBDyEV5F4+7duxg6dChiYmJw48YN7lLYp0+fYufOnTINWBu1bdsWf/zxh0RfEiGEKAJeRWPTpk2YNWsWAgICJC53tba2RkREhMzC1TZ5eXnw8fFBbm4ujWJLCFFIvIpGTEwMHB0dy7Tr6OhIHTeKfBlfX1/s3LkTjx8/lncUQgiRilfRqFu3LnJzc8u0P3v2TOoQIOTzhYeH49ChQ5g0aRLNgkgIUVi8ikbPnj3h7+8vMVd4VlYWtmzZAnt7e5mFqy2KioqwePFi6Orqwt3dXd5xCCGkXLyKxuLFixEXFwd7e3uIRCLMmjULffr0QWFhIebNmyfjiDXftm3b8OTJE/j5+UFDQ0PecQghpFy87tPQ0dFBcHAwzp8/j6ioKIjFYkyYMAGDBw+GqqqqrDPWaNHR0dixYweGDRv21YNCEkKIrFXpHOFVTdGHESktLcXgwYORlJSEK1euUP8QIUTh8TrS6N69O6ytrbmfFi1ayDpXrbBv3z7cv38fu3btooJBCKkWePVpLFiwAMrKytixYwf69esHe3t7LF26FKdPn+aGMiefLzk5Gf3798fgwYPlHYUQQnj57NNTCQkJCA0Nxe3bt3H58mWIxWJER0fLKt9XUfTTU8C7mRFr0/wghJDqjffYU8C7YUNu3bqFmzdvIiwsDPXr10ffvn1lla3GunjxIiIjIwGACgYhpFrh1afh5uaG0NBQvH37Fl27doWVlRVmzZqF9u3byzpfjRIcHAxfX1+kpKSgbt262LBhA5ydneUdixBCeONVNM6cOQNtbW1MnDgRtra2MDMzg5LSZx2k1HrBwcFwc3NDQUEBgHc39Lm5uQEAFQ5CSLXBq08jJSUFt2/fRmhoKMLCwvD27VtYWFhwV1Mp6misitSnYWlpiZSUlDLtenp6uHPnjhwSEULI5/ui+zTi4uJw6NAhnDp1CqWlpTTdKw/6+vqQ9lYLBAIkJyfLIREhhHw+XqengHeDE354tJGTk4PWrVujW7dussxXY9SvX1/qoI+6urpySEMIIV+GV9Ho2bMnXr58CV1dXVhZWWHZsmXo1q0bmjRpIut8NUJcXBzy8/OhrKyM0tJSrl1dXZ0GKCSEVCu8isaPP/6Ibt26yf0UT3XEGIOHhwfq168Pd3d37Ny5E6mpqdyIttQJTgipTngVjREjRnD/LioqAvBujg3yaWfOnMGNGzfg7e0NV1dXuLq6yjsSIYR8Md7XzZ44cQL9+vWDubk5zM3N0b9/fwQHB8syW7WXm5uLn376Caamphg/fry84xBCyFfjdaQREBCAjRs3YsyYMbCwsAAA3LlzBz/99BPy8/PpA7EcGzduxMuXL7F//34oKyvLOw4hhHw1XkUjMDAQHh4eGDVqFNfWt29ftGnTBvv376eiIUV8fDwOHDiAsWPHwtzcXN5xCCGkUvA6PZWWlib10tpu3bohLS2t0kPVBK1bt8bWrVvp6ihCSI3Cq2g0a9YMYWFhZdrv3LmDZs2aVXqo6q6kpAQCgQBOTk40TwYhpEbhdXpqzJgxWLNmDRITE9G1a1cAQHh4OAIDAzFnzhyZBqxucnJy4OjoCHd3d5ongxBS4/AqGt9//z3U1NSwd+9e7N27F8C7ow83NzeMHTtWpgGrm8LCQgiFQrRp00beUQghpNLxGntKJBKhpKQE9erVQ15eHoB3w2IoOkUae4oQQmqCCvs0cnJyMH36dJibm6NLly4YPXo0Xr9+XS0KRlUrLS3F6tWr8fz5c3lHIYQQmamwaGzevBkPHjzA7Nmz4ebmhszMTHh6elZVtmrlyJEj8Pf3x7///ivvKIQQIjMV9mlcv34d3t7esLe3BwD06NEDgwcPpnmtP5KZmQlfX1/Y2Nhg6NCh8o5DCCEyU+GRxosXL2BsbMwtt23bFioqKsjIyJB5sOrE29sbeXl58Pb2hkAgkHccQgiRmQqLRmlpaZkjCiUlJYnhvT+Xv78/bG1t0bFjR8ycOROZmZlSt3v06BHmzJkDW1tbmJubY+TIkbh169YXP6+shIeH49ixY5g6dSqEQqG84xBCiExVePWUkZERLCwsJApHWFgYOnbsCDU1Na7twIEDvJ7sxIkTWLNmDfz8/KCvr4+1a9dCSUkJAQEBUreNi4tD37590bhxY5w+fRr79u3DyZMnYWBgwOv5ZH31VElJCRwcHJCTk4OrV69CQ0Oj0p+DEEIUSYV9Gk5OTmXavuaGtcDAQEyaNAn9+vUDAKxduxZ9+/ZFbGxsmW/pw4YNk1ieM2cO/vrrL9y8eZN30ZC1gwcP4tGjR9izZw8VDEJIrVBh0fDx8am0JxKJRIiJicHSpUu5thYtWkBPTw8PHjz45KkdxhhycnKgqakpdf2bN2/w5s0bibb09PSvD16O9PR0bNiwAb1794ajo6PMnocQQhQJ7znCv1Z2djbEYjF0dHQk2rW1tZGVlfXJxwcGBqK0tBS9e/eWuj4gIAA7duyolKx8/Pvvv1BSUoKXlxd1fhNCao0qKxpf49q1a9i4cSN27NiBhg0bSt3G1dW1zOm09PR0uLi4yCSTo6Mj7Ozs6EZHQkitUmVFQ0tLC0pKSsjMzJTok8jKyqpwJNi7d+9i7ty58Pb2hq2tbbnbaWpqlnvqqjKJRCLcvHkTvXv3poJBCKl1eE/3+rVUVVVhZGQkMcR6UlISUlJS0LFjR6mPiYiIwLRp0+Du7o4BAwZUVdQKHT16FOPGjcO9e/fkHYUQQqpclRUNAHBxccHBgwdx6dIlxMTEwMPDA1ZWVhAKhYiIiICDgwNevHgBAHj8+DGmTJmCUaNGwd7eHhkZGcjIyEBubm5VRi5jzJgx2LdvH83GRwiplaq0T2P48OHIzMzEqlWrkJubCxsbG3h5eQEACgoKkJCQgOLiYgDAxYsX8fr1a+zfvx/79+/n9uHk5ARfX9+qjM0pKCiAuro6vvvuO7k8PyGEyBuvodGrq8q8uS8kJASLFi3Cb7/9BiMjo0pKSAgh1UuVnp6qrgoKCrBixQo0aNCAJlcihNRq1eKSW3nbtWsXnj9/jqNHj0JVVVXecQghRG7oSOMTnj17hp07d2LIkCHo0aOHvOMQQohcUdGoAGMMy5cvh4qKCk0+RQghoKIhVXBwMCwtLaGvr4///ve/6N+/P5o1aybvWIQQIndUND4SHBwMNzc3pKSkcG1//PEHgoOD5ZiKEEIUAxWNj/j6+qKgoECiraCgQG73hhBCiCKhovGR1NTUz2onhJDahIrGR3R1dT+rnRBCahMqGh9xd3eHurq6RJu6ujrc3d3llIgQQhQHFY2PODs7w8/PD3p6ehAIBNDT04Ofnx+cnZ3lHY0QQuSO7giXwtnZmYoEIYRIQUcahBBCeKOiQQghhDcqGoQQQnijokEIIYS3Gt0RXlpaCgBIT0+XcxJCCKlemjVrhjp1ypaIGl00MjIyALybm5wQQgh/5c14WqOney0sLERUVBSaNGkCZWVleccB8O6ox8XFBb/++qvCj5xLWWWnOuWtTlmB6pVXkbPWyiMNNTU1dO3aVd4xpGrWrNlXz1teVSir7FSnvNUpK1C98lanrNQRTgghhDcqGoQQQnijokEIIYQ3KhpVTFNTEz/++CM0NTXlHeWTKKvsVKe81SkrUL3yVqes79Xoq6cIIYRULjrSIIQQwhsVDUIIIbxR0SCEEMIbFQ0ZuXjxIlxdXdGlSxcYGhqWWf/gwQM4OzvD1NQUjo6OuHr1qhxSvvPzzz9jyJAh6NSpE+zs7LBmzRrk5+dLbKNIebdt24Zvv/0WZmZmsLGxwcKFC7khYxQt64dmzZoFQ0NDhIWFcW2KlNXd3R2GhoYSP4cOHZLYRpHyAsDDhw/h6uqKjh07wsLCAnPnzuXWKVJWe3v7Mu+toaEhIiIiFC7rJzEiE6dOnWK7du1iu3fvZkKhUGJdVlYWs7CwYF5eXuzJkyds9+7dzMTEhCUkJMgl6w8//MDOnDnDnj59yu7cucO+/fZb5u7urrB5z549y27fvs2SkpLYgwcP2JgxY9jkyZMVMut7J0+eZJMmTWJCoZCFhoYqZNYlS5awuXPnspcvX3I/b9++5dYrWt64uDjWpUsXtn37dhYbG8vi4uLYX3/9pZBZMzMzJd7XzZs3sx49erDS0lKFy/opVDRkLDQ0tEzRCAgIYL1792ZisZhrGzt2LPP19a3qeFJduHCBWVhYcMuKnjckJIR16tSJMaaYWdPT01mvXr1YSkqKRNFQtKxLlixhS5YsKXe9ouX98ccf2bJly6SuU7SsHxs8eDDz8/NjjCl+1o/R6Sk5iIiIgJWVFQQCAdfWrVs3PHjwQI6p/ic7OxsNGjTglhU5b25uLs6dO4fOnTsDUMysHh4emDZtGnR1dSXaFTHr5cuXYW1tjUGDBsHf3x8lJSXcOkXKW1paiuvXr0NXVxfjx49H9+7dMXnyZMTGxipc1o/FxsYiJiYGQ4cOBaDYWaWhoiEHWVlZ0NbWlmjT0tJCZmamnBL9T25uLg4cOIBhw4ZxbYqY98yZMzA3N0fXrl2RnJyMjRs3AlC8rEePHkVJSQlGjx5dZp2iZbWzs8OGDRsQEBCASZMm4eDBg9i2bRu3XpHyZmVloaCgAPv27cOAAQOwZ88eNG3aFJMmTUJeXp5CZf3YqVOn0KFDB7Rr1w6AYr2vfNToUW4VFVPQ+ylFIhFmz56NFi1aYOrUqVy7Iua1t7eHmZkZ0tLSsH37dnh6emLbtm0KlTU1NRU7duzA0aNHpa5XpKwA4OjoyP3b0NAQSkpK+OmnnzB//nwIBAKFyisWiwEADg4OXEFevXo17OzscOXKFYXK+iGxWIxz585h8uTJXJuiZi0PFQ050NHRQVZWlkRbdnY2dHR05JQIKCkpwfz585Gfn49Dhw5JjKOviHnr16+P+vXr45tvvkGbNm1gZ2eHuLg4hcoaHR2NV69eoX///hLtEydOhJOTk0JllcbY2Bhv375FdnY2tLW1FSqvlpYWlJWV0bp1a65NRUUFLVq0QFpamkJl/dDt27eRmZmJgQMHcm2KmrU8dHpKDszMzCQuuwSA0NBQdOzYUS55xGIxlixZgsTEROzduxcaGhoS6xUt78fef1NTUlJSqKzW1tY4c+YMTp06xf0AwJo1azB37lyFyirNkydPoK6uDi0tLQCK9XegqqqK9u3b4/nz51xbSUkJUlJSoKurq1BZP3Tq1Cl0794djRs35toUNWu55NcHX7NlZ2ez6OhoFhQUxIRCIYuOjmbR0dGsqKiIu8RuzZo1LC4ujvn7+8v1Ertly5ax7t27s+joaInLAktKShhjTKHyikQitmnTJvbgwQOWnJzMwsPD2bhx45iTk5PE5YuKkFUaaZfcKkrWtWvXsvv377OkpCT2119/MVtbW7Z27VpuvaLlPXPmDDM1NWWnT59m8fHx7KeffmK2trYsLy9P4bIyxlh+fj7r1KkTO3funES7ImatCBUNGTlx4gQTCoVlfpKSkhhjjN27d485OTkxY2Nj5uDgwK5cuSK3rNJyfphVkfIWFxezWbNmse7duzNjY2PWq1cv5uHhwV68eKFwWaX5sGgwplhZJ0+ezKysrJixsTHr168f2759OysqKpLYRpHyMsbYwYMHmZ2dHevUqRObMGECe/LkCbdO0bKePHmSde7cmRUUFJRZp2hZK0Kj3BJCCOGN+jQIIYTwRkWDEEIIb1Q0CCGE8EZFgxBCCG9UNAghhPBGRYMQQghvVDQIkQN7e3vs2rVLps/h7u6OiRMnyvQ5SO1DY0+RGqewsBC7d+/GhQsXkJ6eDnV1dejr62PIkCGYMGGCvONVGQ8PD25gP0IqCxUNUuOsWrUKYWFh8PDwgKGhIfLz8xEdHY3U1FR5R6tSH86JQkhloaJBapxLly5h3rx56Nu3L9dmZGQksc3Dhw+xefNmPHz4EIWFhWjTpg3mzp0LOzs7bht7e3sMHjwY2dnZOHfuHFRVVTFr1iyMHDkS69atw5kzZ6CmpoZp06Zh3Lhx3OMMDQ2xbNky3L17F9evX0f9+vXx/fffY9KkSeVmLikpwc8//4yTJ08iIyMDLVu2xPjx46XOw/FeXl4evL29ce3aNbx+/Ro6OjpwcHDA0qVLAbw7PZWeno5Dhw4hOTkZffr0kbqfx48fAwBevXqFDRs24MqVKygqKoKhoSEWLlwICwuLCt5tUttQ0SA1TpMmTXD9+nUMHDgQjRo1krpNXl4eBgwYAHd3dygrK+PUqVOYOXMmzp49KzHcdmBgIGbNmoXg4GCcP38ea9aswdWrV2FjY4Pjx4/jzz//xJo1a2BtbY22bdtyj9u5cydmz56NBQsW4Nq1a1i3bh309PTKDJP+3vLly/Hw4UOsXr0arVq1QmRkJDw9PaGsrIwRI0ZIfcyWLVvw8OFD7Nq1C02aNEF6ejri4uKkbtu8eXPcuHGDWxaJRJg+fTr3/hQWFmLChAkwMDDA3r17oampiQsXLmDSpEk4ffo0DAwMKnrLSW0i78GvCKlsd+/eZb169WJGRkZs4MCBbPny5ezvv/+WmINZmkGDBrFdu3Zxy71792YzZszglktLS5m5uTmbNm2aRFvXrl3Z4cOHuTahUMgWLVokse8FCxaw0aNHS+x7586djDHGEhMTmaGhIYuLi5N4zPbt29ngwYPLzTt9+vQK5/ResmQJc3V1lbpu0aJFrH///iwnJ4cx9m6AzR49erDi4mKJ7caPH8/WrFlT7nOQ2oeONEiN06VLF/z999+IiIjA/fv3ER4ejjlz5sDOzg4///wzBAIBsrKysG3bNoSGhuLVq1coLS1FUVFRmX6PD09rKSkpQVtbG4aGhmXaPp6as1OnThLLnTt3xvXr16XmjYqKAmMMw4cPl2gvKSmBsrJyua9z7NixmDNnDqKiomBtbY0ePXqgR48eUFKq+KLInTt34tq1awgKCkLDhg0BAJGRkXj16lWZU1EikQhqamoV7o/ULlQ0SI1Up04ddO7cGZ07d8bkyZNx+vRpuLm5ITw8HJaWlnB3d0daWhoWL14MfX19qKmpYf78+SguLi6znw8JBAKpbZ+6SolVMJj0+3W//fYb1NXVy+y7PD169MB///tf3LhxA3fu3IGbmxuEQiEOHTpUbrG5cOEC/P39ceDAAbRq1YprF4vFMDAwwI4dO8o8hooG+RAVDVIrvD8n//6IIDw8HIsXL+Y6h9++fYvk5GQIhcJKeb4HDx7AxcWFW7537x7atGkjdVtjY2MAQFpaGnr37v1Zz9OoUSMMHDgQAwcOhLOzM0aNGoW4uDiJo6EPMy1duhReXl7o2rWrxDoTExOcPn0a9evXV9hpRolioKJBapxx48ZhwIABMDExgba2NhITE7Fp0yZoamrCysoKANC6dWucPXsWXbp0gVgsxtatW1FaWlppGa5cuYLAwEDY2tri+vXr+OOPP7Bp0yap27Zq1QrDhg3DihUrsGjRIpibm6OgoABRUVHIysrC1KlTpT5u8+bNMDY2Rtu2baGkpISzZ8+iXr160NXVLbNtRkYGZs6cCWdnZ9jY2CAjI4Nb16RJEwwePBgBAQGYOnUq5s+fj2+++QaZmZkIDQ2FgYGBxJVopHajokFqHDs7O5w9exbbtm1DXl4edHR00LVrV/j4+EBbWxsA4OPjg5UrV2LEiBFo3Lgxvv/+exQWFlZahpkzZ+LWrVtYv349GjRogAULFsDBwaHc7b28vHDgwAHs3r0bycnJ0NDQQLt27SSOVj6mqqqKbdu2ISUlBUpKSmjfvj327t0r9f6M+Ph4vHr1CkeOHMGRI0ck1j1+/Bh169bF4cOHsWXLFixduhTZ2dnQ0tKCmZkZevTo8eVvBKlxaOY+QiqZoaEh/Pz8MGTIEHlHIaTS0dhThBBCeKOiQQghhDc6PUUIIYQ3OtIghBDCGxUNQgghvFHRIIQQwhsVDUIIIbxR0SCEEMIbFQ1CCCG8/R+UkvBxt4hmCAAAAABJRU5ErkJggg==\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set(style='ticks', context='notebook', font_scale=1.2)\n",
"\n",
"d = 0.5 # Fixed effect size\n",
"n = np.arange(5, 80, 5) # Incrementing sample size\n",
"\n",
"# Compute the achieved power\n",
"pwr = pg.power_ttest(d=d, n=n, contrast='paired', tail='two-sided')\n",
"\n",
"# Start the plot\n",
"plt.plot(n, pwr, 'ko-.')\n",
"plt.axhline(0.8, color='r', ls=':')\n",
"plt.xlabel('Sample size')\n",
"plt.ylabel('Power (1 - type II error)')\n",
"plt.title('Achieved power of a paired T-test')\n",
"sns.despine()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Non parametric tests:\n",
"\n",
"\n",
"Unlike the parametric test these do not require the assumption of normal distributions.\n",
"\n",
"\"`Mann-Whitney U Test` (= Wilcoxon rank-sum test). It is the non-parametric version of the independent T-test.\n",
"Mwu tests the hypothesis that data in x and y are samples from continuous distributions with equal medians. The test assumes that x and y are independent. This test corrects for ties and by default uses a continuity correction.\" - [mwu-function](https://pingouin-stats.org/generated/pingouin.mwu.html#pingouin.mwu)\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"Test summary\n",
"\n",
"- 'W-val' : W-value\n",
"- 'p-val' : p-value\n",
"- 'RBC' : matched pairs rank-biserial correlation (effect size)\n",
"- 'CLES' : common language effect size"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
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RBC
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CLES
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MWU
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],
"text/plain": [
" U-val p-val RBC CLES\n",
"MWU 164.5 0.342289 0.1775 0.575"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pg.mwu(light_viq, dark_viq)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"\"`Wilcoxon signed-rank test` is the non-parametric version of the paired T-test.\n",
"\n",
"The Wilcoxon signed-rank test tests the null hypothesis that two related paired samples come from the same distribution. A continuity correction is applied by default.\" - [wilcoxon - func](https://pingouin-stats.org/generated/pingouin.wilcoxon.html#pingouin.wilcoxon)\n"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Medians = 20.00 - 25.50\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/scipy/stats/morestats.py:2879: UserWarning: Sample size too small for normal approximation.\n",
" warnings.warn(\"Sample size too small for normal approximation.\")\n"
]
},
{
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W-val
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p-val
\n",
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RBC
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CLES
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Wilcoxon
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"text/plain": [
" W-val p-val RBC CLES\n",
"Wilcoxon 9.0 0.043089 0.5 0.609375"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# example from the function definition\n",
"# Wilcoxon test on two related samples.\n",
"x = [20, 22, 19, 20, 22, 18, 24, 20]\n",
"y = [38, 37, 33, 29, 14, 12, 20, 22]\n",
"print(\"Medians = %.2f - %.2f\" % (np.median(x), np.median(y)))\n",
"pg.wilcoxon(x, y, tail='two-sided')"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"
\n",
"\n",
"### `scipy.stats` - Hypothesis testing: comparing two groups\n",
"\n",
"For simple [statistical tests](https://en.wikipedia.org/wiki/Statistical_hypothesis_testing), it is also possible to use the `scipy.stats` sub-module of [`scipy`](http://docs.scipy.org/doc/)."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from scipy import stats"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### 1-sample t-test: testing the value of a population mean\n",
"\n",
"`scipy.stats.ttest_1samp` tests if the population mean of data is likely to be equal to a given value (technically if observations are drawn from a Gaussian distributions of given population mean). It returns the [T statistic](https://en.wikipedia.org/wiki/Student%27s_t-test), and the [p-value](https://en.wikipedia.org/wiki/P-value) (see the function's help):"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_1sampResult(statistic=3.3074146385401786, pvalue=0.002030117404781822)"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.ttest_1samp(data['VIQ'], 100)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"With a p-value of 10^-28 we can claim that the population mean for the IQ (VIQ measure) is not 0."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### 2-sample t-test: testing for difference across populations\n",
"\n",
"We have seen above that the mean VIQ in the dark hair and light hair populations\n",
"were different. To test if this is significant, we do a 2-sample t-test\n",
"with `scipy.stats.ttest_ind`:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_indResult(statistic=-0.7726161723275011, pvalue=0.44452876778583217)"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"light_viq = data[data['Hair'] == 'light']['VIQ']\n",
"dark_viq = data[data['Hair'] == 'dark']['VIQ']\n",
"stats.ttest_ind(light_viq, dark_viq)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Paired tests: repeated measurements on the same indivuals\n",
"\n",
"PIQ, VIQ, and FSIQ give 3 measures of IQ. Let us test if FISQ and PIQ are significantly different. We can use a 2 sample test:"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_indResult(statistic=0.465637596380964, pvalue=0.6427725009414841)"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.ttest_ind(data['FSIQ'], data['PIQ'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"The problem with this approach is that it forgets that there are links\n",
"between observations: FSIQ and PIQ are measured on the same individuals.\n",
"\n",
"Thus the variance due to inter-subject variability is confounding, and\n",
"can be removed, using a \"paired test\", or [\"repeated measures test\"](https://en.wikipedia.org/wiki/Repeated_measures_design):"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_relResult(statistic=1.7842019405859857, pvalue=0.08217263818364236)"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.ttest_rel(data['FSIQ'], data['PIQ'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"This is equivalent to a 1-sample test on the difference::"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_1sampResult(statistic=1.7842019405859857, pvalue=0.08217263818364236)"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.ttest_1samp(data['FSIQ'] - data['PIQ'], 0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"T-tests assume Gaussian errors. We can use a [Wilcoxon signed-rank test](https://en.wikipedia.org/wiki/Wilcoxon_signed-rank_test), that relaxes this assumption:"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"WilcoxonResult(statistic=274.5, pvalue=0.10659492713506856)"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.wilcoxon(data['FSIQ'], data['PIQ'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"**Note:** The corresponding test in the non paired case is the [Mann–Whitney U test](https://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U), `scipy.stats.mannwhitneyu`."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"
\n",
"\n",
"\n",
"# `statsmodels` - use \"formulas\" to specify statistical models in Python\n",
"\n",
"Use `statsmodels` to perform linear models, multiple factors or analysis of variance.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## A simple linear regression\n",
"\n",
"Given two set of observations, `x` and `y`, we want to test the hypothesis that `y` is a linear function of `x`.\n",
"\n",
"In other terms:\n",
"\n",
"$y = x * coef + intercept + e$\n",
"\n",
"where $e$ is observation noise. We will use the [statsmodels](http://statsmodels.sourceforge.net) module to:\n",
"\n",
"1. Fit a linear model. We will use the simplest strategy, [ordinary least squares](https://en.wikipedia.org/wiki/Ordinary_least_squares) (OLS).\n",
"2. Test that $coef$ is non zero."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"First, we generate simulated data according to the model:"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"x = np.linspace(-5, 5, 20)\n",
"np.random.seed(1)\n",
"\n",
"# normal distributed noise\n",
"y = -5 + 3*x + 4 * np.random.normal(size=x.shape)\n",
"\n",
"# Create a data frame containing all the relevant variables\n",
"data = pd.DataFrame({'x': x, 'y': y})\n",
"\n",
"plt.plot(x, y, 'o');"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"Then we specify an OLS model and fit it:"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"from statsmodels.formula.api import ols\n",
"model = ols(\"y ~ x\", data).fit()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"**Note:** For more about \"formulas\" for statistics in Python, see the [statsmodels documentation](http://statsmodels.sourceforge.net/stable/example_formulas.html)."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"We can inspect the various statistics derived from the fit::"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"scrolled": false,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: y R-squared: 0.804\n",
"Model: OLS Adj. R-squared: 0.794\n",
"Method: Least Squares F-statistic: 74.03\n",
"Date: Sat, 07 Nov 2020 Prob (F-statistic): 8.56e-08\n",
"Time: 20:11:18 Log-Likelihood: -57.988\n",
"No. Observations: 20 AIC: 120.0\n",
"Df Residuals: 18 BIC: 122.0\n",
"Df Model: 1 \n",
"Covariance Type: nonrobust \n",
"==============================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"------------------------------------------------------------------------------\n",
"Intercept -5.5335 1.036 -5.342 0.000 -7.710 -3.357\n",
"x 2.9369 0.341 8.604 0.000 2.220 3.654\n",
"==============================================================================\n",
"Omnibus: 0.100 Durbin-Watson: 2.956\n",
"Prob(Omnibus): 0.951 Jarque-Bera (JB): 0.322\n",
"Skew: -0.058 Prob(JB): 0.851\n",
"Kurtosis: 2.390 Cond. No. 3.03\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
]
}
],
"source": [
"print(model.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Terminology\n",
"\n",
"Statsmodels uses a statistical terminology: the `y` variable in statsmodels is called *endogenous* while the `x` variable is called *exogenous*. This is discussed in more detail [here](http://statsmodels.sourceforge.net/devel/endog_exog.html). To simplify, `y` (endogenous) is the value you are trying to predict, while `x` (exogenous) represents the features you are using to make the prediction."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Categorical variables: comparing groups or multiple categories\n",
"\n",
"Let us go back the data on brain size:"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"data = pd.read_csv('data/brain_size.csv', sep=';', na_values=\".\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"We can write a comparison between IQ of people with dark and light hair using a linear model:"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: VIQ R-squared: 0.015\n",
"Model: OLS Adj. R-squared: -0.010\n",
"Method: Least Squares F-statistic: 0.5969\n",
"Date: Sat, 07 Nov 2020 Prob (F-statistic): 0.445\n",
"Time: 20:11:18 Log-Likelihood: -182.42\n",
"No. Observations: 40 AIC: 368.8\n",
"Df Residuals: 38 BIC: 372.2\n",
"Df Model: 1 \n",
"Covariance Type: nonrobust \n",
"=================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"---------------------------------------------------------------------------------\n",
"Intercept 115.2500 5.308 21.712 0.000 104.504 125.996\n",
"Hair[T.light] -5.8000 7.507 -0.773 0.445 -20.997 9.397\n",
"==============================================================================\n",
"Omnibus: 26.188 Durbin-Watson: 1.709\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 3.703\n",
"Skew: 0.010 Prob(JB): 0.157\n",
"Kurtosis: 1.510 Cond. No. 2.62\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
]
}
],
"source": [
"model = ols(\"VIQ ~ Hair + 1\", data).fit()\n",
"print(model.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Tips on specifying model\n",
" \n",
"***Forcing categorical*** - the 'Hair' is automatically detected as a categorical variable, and thus each of its different values is treated as different entities.\n",
"\n",
"An integer column can be forced to be treated as categorical using:\n",
"\n",
"```python\n",
"model = ols('VIQ ~ C(Hair)', data).fit()\n",
"```\n",
"\n",
"***Intercept***: We can remove the intercept using `- 1` in the formula, or force the use of an intercept using `+ 1`."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Link to t-tests between different FSIQ and PIQ\n",
"\n",
"To compare different types of IQ, we need to create a \"long-form\" table, listing IQs, where the type of IQ is indicated by a categorical variable:"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" iq type\n",
"0 133 fsiq\n",
"8 89 fsiq\n",
"16 132 fsiq\n",
"24 91 fsiq\n",
"32 103 fsiq\n",
"0 124 piq\n",
"8 84 piq\n",
"16 120 piq\n",
"24 102 piq\n",
"32 110 piq\n"
]
}
],
"source": [
"data_fisq = pd.DataFrame({'iq': data['FSIQ'], 'type': 'fsiq'})\n",
"data_piq = pd.DataFrame({'iq': data['PIQ'], 'type': 'piq'})\n",
"data_long = pd.concat((data_fisq, data_piq))\n",
"print(data_long[::8])"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: iq R-squared: 0.003\n",
"Model: OLS Adj. R-squared: -0.010\n",
"Method: Least Squares F-statistic: 0.2168\n",
"Date: Sat, 07 Nov 2020 Prob (F-statistic): 0.643\n",
"Time: 20:11:18 Log-Likelihood: -364.35\n",
"No. Observations: 80 AIC: 732.7\n",
"Df Residuals: 78 BIC: 737.5\n",
"Df Model: 1 \n",
"Covariance Type: nonrobust \n",
"===============================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"-------------------------------------------------------------------------------\n",
"Intercept 113.4500 3.683 30.807 0.000 106.119 120.781\n",
"type[T.piq] -2.4250 5.208 -0.466 0.643 -12.793 7.943\n",
"==============================================================================\n",
"Omnibus: 164.598 Durbin-Watson: 1.531\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 8.062\n",
"Skew: -0.110 Prob(JB): 0.0178\n",
"Kurtosis: 1.461 Cond. No. 2.62\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
]
}
],
"source": [
"model = ols(\"iq ~ type\", data_long).fit()\n",
"print(model.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"We can see that we retrieve the same values for t-test and corresponding p-values for the effect of the type of IQ than the previous t-test:"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Ttest_indResult(statistic=0.465637596380964, pvalue=0.6427725009414841)"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.ttest_ind(data['FSIQ'], data['PIQ'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Multiple Regression: including multiple factors\n",
"\n",
"Consider a linear model explaining a variable `z` (the dependent\n",
"variable) with 2 variables `x` and `y`:\n",
"\n",
"$z = x \\, c_1 + y \\, c_2 + i + e$\n",
"\n",
"Such a model can be seen in 3D as fitting a plane to a cloud of (`x`,\n",
"`y`, `z`) points (see the following figure)."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Z')"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from mpl_toolkits.mplot3d import Axes3D\n",
"x = np.linspace(-5, 5, 21)\n",
"\n",
"# We generate a 2D grid\n",
"X, Y = np.meshgrid(x, x)\n",
"\n",
"# To get reproducable values, provide a seed value\n",
"np.random.seed(1)\n",
"\n",
"# Z is the elevation of this 2D grid\n",
"Z = -5 + 3*X - 0.5*Y + 8 * np.random.normal(size=X.shape)\n",
"\n",
"# Plot the data\n",
"fig = plt.figure(figsize=(8, 8))\n",
"ax = fig.gca(projection='3d')\n",
"surf = ax.plot_surface(X, Y, Z, cmap=plt.cm.coolwarm,\n",
" rstride=1, cstride=1)\n",
"ax.view_init(20, -120)\n",
"ax.set_xlabel('X')\n",
"ax.set_ylabel('Y')\n",
"ax.set_zlabel('Z')"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Example: the iris data (`data/iris.csv`)\n",
"\n",
"Sepal and petal size tend to be related: bigger flowers are bigger! But is there, in addition, a systematic effect of species?"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pandas.plotting import scatter_matrix\n",
"\n",
"#Load the data\n",
"data = pd.read_csv('data/iris.csv')\n",
"\n",
"# Express the names as categories\n",
"categories = pd.Categorical(data['Species'])\n",
"\n",
"# The parameter 'c' is passed to plt.scatter and will control the color\n",
"scatter_matrix(data, c=categories.codes, marker='o', figsize=(8, 8))\n",
"\n",
"# Plot figure\n",
"fig.suptitle(\"blue: setosa, green: versicolor, red: virginica\", size=13)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: SepalWidth R-squared: 0.478\n",
"Model: OLS Adj. R-squared: 0.468\n",
"Method: Least Squares F-statistic: 44.63\n",
"Date: Sat, 07 Nov 2020 Prob (F-statistic): 1.58e-20\n",
"Time: 20:11:20 Log-Likelihood: -38.185\n",
"No. Observations: 150 AIC: 84.37\n",
"Df Residuals: 146 BIC: 96.41\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"=========================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"-----------------------------------------------------------------------------------------\n",
"Intercept 2.9813 0.099 29.989 0.000 2.785 3.178\n",
"Species[T.versicolor] -1.4821 0.181 -8.190 0.000 -1.840 -1.124\n",
"Species[T.virginica] -1.6635 0.256 -6.502 0.000 -2.169 -1.158\n",
"PetalLength 0.2983 0.061 4.920 0.000 0.178 0.418\n",
"==============================================================================\n",
"Omnibus: 2.868 Durbin-Watson: 1.753\n",
"Prob(Omnibus): 0.238 Jarque-Bera (JB): 2.885\n",
"Skew: -0.082 Prob(JB): 0.236\n",
"Kurtosis: 3.659 Cond. No. 54.0\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
]
}
],
"source": [
"data = pd.read_csv('data/iris.csv')\n",
"model = ols('SepalWidth ~ Species + PetalLength', data).fit()\n",
"print(model.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Post-hoc hypothesis testing: analysis of variance (ANOVA)\n",
"\n",
"In the above iris example, we wish to test if the petal length is different between versicolor and virginica, after removing the effect of sepal width. This can be formulated as testing the difference between the coefficient associated to versicolor and virginica in the linear model estimated above (it is an Analysis of Variance, [ANOVA](https://en.wikipedia.org/wiki/Analysis_of_variance). For this, we write a **vector of 'contrast'** on the parameters estimated: we want to test ``\"name[T.versicolor] - name[T.virginica]\"``, with an [F-test](https://en.wikipedia.org/wiki/F-test):"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"print(model.f_test([0, 1, -1, 0]))"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"Is this difference significant?"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"
\n",
"\n",
"# `seaborn` - use visualization for statistical exploration\n",
"\n",
"[Seaborn](http://stanford.edu/~mwaskom/software/seaborn/) combines simple statistical fits with plotting on pandas dataframes.\n",
"\n",
"Let us consider a data giving wages and many other personal information on 500 individuals ([Berndt, ER. The Practice of Econometrics. 1991. NY:Addison-Wesley](http://lib.stat.cmu.edu/datasets/CPS_85_Wages))."
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
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3
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"
12
\n",
"
0
\n",
"
0
\n",
"
4
\n",
"
0
\n",
"
4.00
\n",
"
22
\n",
"
3
\n",
"
6
\n",
"
0
\n",
"
\n",
"
\n",
"
4
\n",
"
12
\n",
"
0
\n",
"
0
\n",
"
17
\n",
"
0
\n",
"
7.50
\n",
"
35
\n",
"
3
\n",
"
6
\n",
"
0
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" EDUCATION SOUTH HAIR EXPERIENCE UNION WAGE AGE OCCUPATION SECTOR \\\n",
"0 8 0 1 21 0 5.10 35 2 6 \n",
"1 9 0 1 42 0 4.95 57 3 6 \n",
"2 12 0 0 1 0 6.67 19 3 6 \n",
"3 12 0 0 4 0 4.00 22 3 6 \n",
"4 12 0 0 17 0 7.50 35 3 6 \n",
"\n",
" MARR \n",
"0 1 \n",
"1 1 \n",
"2 1 \n",
"3 0 \n",
"4 0 "
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"data = pd.read_csv('data/wages.csv', sep=',')\n",
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Pairplot: scatter matrices\n",
"\n",
"We can easily have an intuition on the interactions between continuous variables using `seaborn.pairplot` to display a scatter matrix:"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import seaborn\n",
"seaborn.set()\n",
"seaborn.pairplot(data, vars=['WAGE', 'AGE', 'EDUCATION'], kind='reg')"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"Categorical variables can be plotted as the hue:"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"seaborn.pairplot(data, vars=['WAGE', 'AGE', 'EDUCATION'], kind='reg', hue='HAIR')"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## lmplot: plotting a univariate regression\n",
"\n",
"A regression capturing the relation between one variable and another, e.g. wage and eduction, can be plotted using `seaborn.lmplot`:"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"seaborn.lmplot(y='WAGE', x='EDUCATION', data=data)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"### Robust regression\n",
"Given that, in the above plot, there seems to be a couple of data points that are outside of the main cloud to the right, they might be outliers, not representative of the population, but driving the regression.\n",
"\n",
"To compute a regression that is less sensitive to outliers, one must use a [robust model](https://en.wikipedia.org/wiki/Robust_statistics). This is done in seaborn using ``robust=True`` in the plotting functions, or in statsmodels by replacing the use of the OLS by a \"Robust Linear Model\", `statsmodels.formula.api.rlm`."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Testing for interactions\n",
"\n",
"Do wages increase more with education for people with dark hair than with light hair?"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"seaborn.lmplot(y='WAGE', x='EDUCATION', hue='HAIR', data=data)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"The plot above is made of two different fits. We need to formulate a single model that tests for a variance of slope across the population. This is done via an [\"interaction\"](http://statsmodels.sourceforge.net/devel/example_formulas.html#multiplicative-interactions)."
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: WAGE R-squared: 0.190\n",
"Model: OLS Adj. R-squared: 0.186\n",
"Method: Least Squares F-statistic: 41.50\n",
"Date: Sat, 07 Nov 2020 Prob (F-statistic): 4.24e-24\n",
"Time: 20:11:33 Log-Likelihood: -1575.0\n",
"No. Observations: 534 AIC: 3158.\n",
"Df Residuals: 530 BIC: 3175.\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"==================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"----------------------------------------------------------------------------------\n",
"Intercept 1.1046 1.314 0.841 0.401 -1.476 3.685\n",
"EDUCATION 0.6831 0.099 6.918 0.000 0.489 0.877\n",
"HAIR -4.3704 2.085 -2.096 0.037 -8.466 -0.274\n",
"EDUCATION:HAIR 0.1725 0.157 1.098 0.273 -0.136 0.481\n",
"==============================================================================\n",
"Omnibus: 208.151 Durbin-Watson: 1.863\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 1278.081\n",
"Skew: 1.587 Prob(JB): 2.94e-278\n",
"Kurtosis: 9.883 Cond. No. 170.\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
]
}
],
"source": [
"from statsmodels.formula.api import ols\n",
"result = ols(formula='WAGE ~ EDUCATION + HAIR + EDUCATION * HAIR', data=data).fit()\n",
"print(result.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"Can we conclude that education benefits people with dark hair more than people with light hair?"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Take home messages\n",
"\n",
"* Hypothesis testing and p-value give you the **significance** of an effect / difference\n",
"\n",
"* **Formulas** (with categorical variables) enable you to express rich links in your data\n",
"\n",
"* **Visualizing** your data and simple model fits matters!\n",
"\n",
"* **Conditioning** (adding factors that can explain all or part of the variation) is an important modeling aspect that changes the interpretation."
]
}
],
"metadata": {
"anaconda-cloud": {},
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}