{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n", " sub_id intensity initials ear stimulus_type latency amplitude\n", "0 1 80 JM Rechts Chirp 5.77 620\n", "1 1 80 JM Rechts Clicks 5.57 450\n", "2 1 80 JM Links Chirp 5.57 725\n", "3 1 80 JM Links Clicks 5.73 500\n", "4 1 70 JM Rechts Clicks 5.93 475\n" ] }, { "data": { "image/png": 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t3bpVLpdLQ4YMUX19vd5+++1Wv2/16tVKTU3V2rVrZRiGdu/erbi4OElSYmKi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\nzPHWW2/pggsuaLK+srJSv/nNb3zz9B4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%pylab inline\n", "import os\n", "import os.path as op\n", "import glob\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "import statsmodels.api as sm\n", "from statsmodels.formula.api import ols\n", "\n", "# some, perhaps, relevant links/sources:\n", "# http://stats.stackexchange.com/questions/24314/when-is-a-repeated-measures-anova-preferred-over-a-mixed-effects-model\n", "# http://nbviewer.ipython.org/urls/umich.box.com/shared/static/6tfc1e0q6jincsv5pgfa.ipynb\n", "# http://jpktd.blogspot.jp/2013/03/multiple-comparison-and-tukey-hsd-or_25.html\n", "# http://statsmodels.sourceforge.net/devel/anova.html\n", "\n", "resdir = '/Users/cplanting/ABR-vis/'\n", "data_bera = pd.read_csv(op.join(resdir,'amp.csv'), sep=';',header=0)\n", "print data_bera.head()\n", "\n", "#bin data source: http://stackoverflow.com/questions/16947336/binning-a-dataframe-in-pandas-in-python\n", "bins = np.linspace(5, 85, 9)\n", "int_binned = data_bera.groupby(pd.cut(data_bera.intensity, bins))\n", "def int_round(x,mult):\n", " #round to closest multiple of 10; 5.0 -> 0.0; 5.1 -> 10.0\n", " return np.round(x / mult) * mult\n", "\n", "data_bera['intensity (dB SPL)'] = int_round(data_bera['intensity'],10.0)\n", "g0 = sns.factorplot(\"intensity (dB SPL)\",\"amplitude\",\"stimulus_type\",kind='bar',\n", " ci=68,n_boot=50000, estimator=np.mean, \n", " data=tmp, size=6, palette=\"Set1\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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QKJ/Pn+3vbbg5Wk20241a8SLqrTegKmfGMDDO+6k/ebNLlxbZobUG5aA7SRHN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\nk5lbwcE6vRldg5G9vDPNBnZ1nHMPxFTVBTVlarMQoh3odIG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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.lmplot(x=\"intensity (dB SPL)\", y=\"amplitude\", hue=\"stimulus_type\", x_estimator=np.mean, data=data_bera,\n", " y_jitter=10,palette=\"Set1\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(0, 12)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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qqgQFBfPggw+zYoURdPPYY//HkCH/pkuXrjRs2JCnn/4Pnp5e1KoVQosWra5p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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.lmplot(x=\"intensity (dB SPL)\", y=\"latency\", hue=\"stimulus_type\", x_estimator=np.mean, data=data_bera,\n", " x_jitter=4,palette=\"Set1\")\n", "level = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90]\n", "lat = [8.73,8.42,8.12,7.82,7.52,7.24,6.98,6.74,6.52,6.33,6.16,6.01,5.9,5.8,5.71,5.64,5.58]\n", "level2 = [20,30,40,50,60,70,80,90]\n", "lat2 = [7.51, 7.13, 6.59, 6.17, 6.01, 5.8, 5.62, 5.55]\n", "lat2_sd = [0.42, 0.37, 0.43, 0.27, 0.27, 0.2, 0.12,0.12]\n", "plot(level,lat,'k-',lw=3,label='Norm Click (Prosser, 1988)')\n", "plot(level2,lat2,'g-',lw=3,label='UMCG norm Click')\n", "\n", "lev_chirp = [10,20,30,40,60,80]\n", "lat_chirp = [7.01, 6.42, 5.79, 5.17, 3.93, 2.85]\n", "sd_chirp = [0.49, 0.36, 0.35, 0.40, 0.62, 0.84]\n", "errorbar(lev_chirp,lat_chirp,yerr=sd_chirp,color='k',label='Norm Chirp (Elberling, 2010)')\n", "legend()\n", "g.ax.set_ylim([0,12])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Mixed Linear Model Regression Results\n", "==================================================================================\n", "Model: MixedLM Dependent Variable: amplitude \n", "No. Observations: 291 Method: REML \n", "No. Groups: 16 Scale: 15421.7194\n", "Min. group size: 3 Likelihood: -1834.6913\n", "Max. group size: 29 Converged: Yes \n", "Mean group size: 18.2 \n", "----------------------------------------------------------------------------------\n", " Coef. Std.Err. z P>|z| [0.025 0.975]\n", "----------------------------------------------------------------------------------\n", "Intercept 95.938 53.345 1.798 0.072 -8.616 200.492\n", "stimulus_type[T.Clicks] -108.567 35.500 -3.058 0.002 -178.145 -38.989\n", "intensity 8.538 0.471 18.112 0.000 7.614 9.462\n", "intensity:stimulus_type[T.Clicks] -1.245 0.683 -1.824 0.068 -2.584 0.093\n", "Intercept RE 36195.683 117.297 \n", "==================================================================================\n", "\n" ] } ], "source": [ "model = sm.MixedLM.from_formula(\"amplitude ~ intensity * stimulus_type\", tmp, groups=tmp[\"sub_id\"])\n", "result = model.fit()\n", "print result.summary()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Mixed Linear Model Regression Results\n", "=============================================================================\n", "Model: MixedLM Dependent Variable: latency \n", "No. Observations: 291 Method: REML \n", "No. Groups: 16 Scale: 0.1906 \n", "Min. group size: 3 Likelihood: -214.5807\n", "Max. group size: 29 Converged: Yes \n", "Mean group size: 18.2 \n", "-----------------------------------------------------------------------------\n", " Coef. Std.Err. z P>|z| [0.025 0.975]\n", "-----------------------------------------------------------------------------\n", "Intercept 9.995 0.205 48.702 0.000 9.592 10.397\n", "stimulus_type[T.Clicks] -0.587 0.125 -4.706 0.000 -0.832 -0.343\n", "intensity -0.053 0.002 -31.782 0.000 -0.056 -0.049\n", "intensity:stimulus_type[T.Clicks] 0.009 0.002 3.592 0.000 0.004 0.013\n", "Intercept RE 0.559 0.509 \n", "=============================================================================\n", "\n" ] } ], "source": [ "model = sm.MixedLM.from_formula(\"latency ~ intensity * stimulus_type\", tmp, groups=tmp[\"sub_id\"])\n", "result = model.fit()\n", "print result.summary()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " OLS Regression Results \n", "==============================================================================\n", "Dep. Variable: latency R-squared: 0.561\n", "Model: OLS Adj. R-squared: 0.556\n", "Method: Least Squares F-statistic: 122.1\n", "Date: Thu, 03 Dec 2015 Prob (F-statistic): 5.73e-51\n", "Time: 21:36:15 Log-Likelihood: -354.79\n", "No. Observations: 291 AIC: 717.6\n", "Df Residuals: 287 BIC: 732.3\n", "Df Model: 3 \n", "Covariance Type: nonrobust \n", "=====================================================================================================\n", " coef std err t P>|t| [95.0% Conf. Int.]\n", "-----------------------------------------------------------------------------------------------------\n", "Intercept 9.6101 0.150 64.016 0.000 9.315 9.906\n", "stimulus_type[T.Clicks] -0.7803 0.234 -3.329 0.001 -1.242 -0.319\n", "intensity -0.0473 0.003 -15.697 0.000 -0.053 -0.041\n", "stimulus_type[T.Clicks]:intensity 0.0131 0.005 2.918 0.004 0.004 0.022\n", "==============================================================================\n", "Omnibus: 49.017 Durbin-Watson: 0.507\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 68.644\n", "Skew: 1.122 Prob(JB): 1.24e-15\n", "Kurtosis: 3.788 Cond. No. 320.\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", " sum_sq df F PR(>F)\n", "stimulus_type 1.792566 1 2.635921 1.055693e-01\n", "intensity 232.944801 1 342.539073 7.076573e-51\n", "stimulus_type:intensity 5.791957 1 8.516917 3.797030e-03\n", "Residual 195.175275 287 NaN NaN\n" ] } ], "source": [ "model_anova = ols('latency ~ stimulus_type*intensity',data=tmp).fit()\n", "table = sm.stats.anova_lm(model_anova, typ=2) # Type 2 ANOVA DataFrame\n", "print model_anova.summary()\n", "print table\n", "#interestingly, by using plain ANOVA (without repeated measures), the effect dissolve in the between-subject variance! \n", "#therefor use MixedLM" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "spect_file = '/Users/cplanting/ProjectsScience/ABR/raw_data/spectrum_click_chirp_bone.csv'\n", "spectrum_df = pd.read_csv(spect_file,sep=';',header=0,decimal=',')\n", "#spectrum_df.head" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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mM0kjx2R9DCf69df/8dlnn1CqVGnGjn3P1eEIYeP0PvzevXvbfkB/++03Spcu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\nklqRE6gyLbIAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(8, 6))\n", "semilogx(spectrum_df.f,spectrum_df.WN,'k--',lw=2,label='White Noise')\n", "semilogx(spectrum_df.f,spectrum_df.click,'b-',lw=3,label='click')\n", "semilogx(spectrum_df.f,spectrum_df.chirp,'r-',lw=3,label='chirp')\n", "ax.set_xlabel('Frequency (Hz)')\n", "ax.set_ylabel('dB re 1 muN')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Hn5+fT35+fvD16dOnGTp0aORGJpFEiWyrmYurj7Arw1iovrj6CNnW2MnCrDxW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\nSG3rgGETSpid+x7vNpi9ZGblirTY56SbePsDzWqhbFSuzIIbhGRccLK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3AAAB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\npI+OAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# now same but with individual point\n", "g = sns.lmplot(x=\"intensity (dB SPL)\", y=\"amplitude\", hue=\"stimulus_type\", order=1,data=data_bera,\n", " y_jitter=10,palette=\"Set1\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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5DWwdIYoSHdikecLezOp97fytyprLheVurp9obWzKRALzxb9i/t8frKTXTsT8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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.lmplot(x=\"intensity (dB SPL)\", y=\"latency\", hue=\"stimulus_type\", order=2,data=data_bera,\n", " y_jitter=1,palette=\"Set1\")\n", "\n", "#Prosser Arslan 1998\n", "level = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90]\n", "lat = [8.73,8.42,8.12,7.82,7.52,7.24,6.98,6.74,6.52,6.33,6.16,6.01,5.9,5.8,5.71,5.64,5.58]\n", "level2 = [20,30,40,50,60,70,80,90]\n", "\n", "#http://www.baaudiology.org/files/9313/8597/9894/R_04_Abeir_Osman_-_Characteristics_of_Auditory_Brainstem_Response.pdf\n", "lat2 = [7.51, 7.13, 6.59, 6.17, 6.01, 5.8, 5.62, 5.55]\n", "lat2_sd = [0.42, 0.37, 0.43, 0.27, 0.27, 0.2, 0.12,0.12]\n", "plot(level,lat,'k-',lw=3,label='Prosser, 1988')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.11" } }, "nbformat": 4, "nbformat_minor": 0 }