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{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure 1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available binaries: ['C:\\\\Program Files\\\\R\\\\R-3.6.1\\\\bin\\\\i386\\\\R.exe', 'C:\\\\Program Files\\\\R\\\\R-4.1.0\\\\bin\\\\i386\\\\R.exe']\n",
      "Using R:  C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from matplotlib.collections import PathCollection\n",
    "import seaborn as sns\n",
    "from scipy.optimize import curve_fit\n",
    "import dclab\n",
    "from lin_mixed_model import linmixmod\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [
    "# folder where all panel plots for figure 1 will be stored\n",
    "savefolder = r\"plots\\fig1\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels A and B"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "#define a color seed for each patient\n",
    "color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "              'KM': 'C3', 'LM': 'C4'}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [],
   "source": [
    "def weighted_means_and_errors(counts, counts_abs):\n",
    "    \"\"\"Calculate weighted mean values and error from the input arrays\"\"\"\n",
    "\n",
    "    weights = np.zeros_like(counts)\n",
    "    weights_normed = np.zeros_like(counts)\n",
    "\n",
    "    # sum up number of cell in each velocity range, for every measurement\n",
    "    counts_sum = np.sum(counts_abs, axis = 2)\n",
    "    sum_counts = np.sum(counts_sum, axis = 1)\n",
    "\n",
    "    # calculate absolute and relative weights\n",
    "    for k in range(len(weights[0,:,0])):\n",
    "        weights[:,k,:] = np.sum(counts_abs, axis = 1)\n",
    "        weights_normed[:,k,:] = weights[:,k,:] / sum_counts[k]     #needed for calculation of the error\n",
    "\n",
    "    # calculate weighted averages, mask nans\n",
    "    means = np.ma.average(counts, axis = 2, weights = weights)\n",
    "    means = np.array(means)     #remove mask again\n",
    "\n",
    "    # calculate weighted variance and from that the error\n",
    "    var = np.zeros_like(means)\n",
    "\n",
    "    for l in range(len(counts[0,0,:])):\n",
    "        var += (counts[:,:,l]-means)**2 * weights_normed[:,:,l]\n",
    "\n",
    "    errs = np.sqrt(var)\n",
    "\n",
    "    # make sure that probability sums up to 1\n",
    "    for i in range(len(means)):\n",
    "        means[i,:] = means[i,:]/sum(means[i,:])\n",
    "\n",
    "    return means, errs\n",
    "\n",
    "def logistic_growth(x, A, x_0, k):\n",
    "    \"\"\"The logistic growth fct\"\"\"\n",
    "    return A/(1+np.exp(-k*(x-x_0)))\n",
    "\n",
    "def deformed_probability_curve(df, v_min=0, v_max=3, binsize=.25):\n",
    "    \"\"\"Compute the values for the shape probability diagram to find a cell\n",
    "    in a deformed state for velocities between v_min and v_max in the DataFrame df\n",
    "\n",
    "    returns: *tuple* (deformed_bins, deformed_hist_normal)\n",
    "        - deformed_bins: *array* limits for the bin ranges of the histogram\n",
    "        - normalized counts for each velocity range\n",
    "    \"\"\"\n",
    "\n",
    "    bins = int(v_max/binsize)   #number of Bins in histogram\n",
    "    #find index of cells in a deformed state. Class definitions are:\n",
    "    #1-parachute, 2-slipper, 3-asym. parachute, 5-multilobe, 7-undefined deformed\n",
    "    #4-discocyte/undeformed, 6-tumbler\n",
    "    deformed_index = ((df['shape'] == 1)\n",
    "                      | (df['shape'] == 2)\n",
    "                      | (df['shape'] == 3)\n",
    "                      | (df['shape'] == 5)\n",
    "                      | (df['shape'] == 7))\n",
    "\n",
    "    #create new column in df that is True for deformed state\n",
    "    df['deformed'] = False\n",
    "    df['deformed'][deformed_index] = True\n",
    "\n",
    "    df_deformed = df[deformed_index]\n",
    "\n",
    "    deformed_hist, deformed_bins = np.histogram(np.array(df_deformed['velocity']),\n",
    "                                                range = (v_min,v_max),\n",
    "                                                bins = bins)\n",
    "    #get the counts for all events to use for normalization\n",
    "    all_hist, all_bins = np.histogram(np.array(df['velocity']),\n",
    "                                      range = (v_min,v_max),\n",
    "                                      bins = bins)\n",
    "\n",
    "    #normalize the deformed histogram\n",
    "    deformed_hist_normal = deformed_hist/all_hist\n",
    "\n",
    "    return deformed_bins, deformed_hist_normal"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 432x720 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "patients = ['VS', 'VL', 'RS', 'LM', 'KM']\n",
    "labels = [\"P1\", \"P2\", \"P3\", \"P4\", \"P5\"]\n",
    "\n",
    "result_summary_folder = r\"data\\shape_analysis\\result_summaries\"\n",
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    "lw = 2\n",
    "xlabel = \"Velocity [mm/s]\"\n",
    "ylabel = \"Probability for deformed shape\"\n",
    "fontsize = 18\n",
    "color_ctrl = 'darkgray'\n",
    "color_ctrl_fit = 'darkcyan'\n",
    "alpha_ctrl = .99\n",
    "alpha_ctrl_fit = 1\n",
    "lw_ctrl =2\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
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    "binsize = 0.25\n",
    "\n",
    "figsize = (6, 10)\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
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    "    fig = plt.figure(0, figsize)\n",
    "\n",
    "    #plot control curves\n",
    "    #load data from txt file\n",
    "    results_ctrl = np.loadtxt(\"histograms_HealthyControl_deformed_undeformed.txt\")\n",
    "\n",
    "    v_ctrl = results_ctrl[:,0]\n",
    "    probs_ctrl = results_ctrl[:,3]\n",
    "    probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "    #fit the control data\n",
    "    fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "    ind_vmax = v_ctrl <= v_max\n",
    "    v_ctrl = v_ctrl[ind_vmax]\n",
    "    probs_ctrl = probs_ctrl[ind_vmax]\n",
    "    probs_ctrl_err = probs_ctrl_err[ind_vmax]\n",
    "\n",
    "    popt_ctrl, pcov_ctrl = curve_fit(logistic_growth, v_ctrl, probs_ctrl,\n",
    "                                     sigma = probs_ctrl_err, absolute_sigma=False,\n",
    "                                     bounds = fit_bounds)\n",
    "    for i in range(2):\n",
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    "        plt.subplot(2,1,i+1)\n",
    "        plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err, color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
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    "        plt.plot(v_ctrl, logistic_growth(v_ctrl, *popt_ctrl), '--', color=color_ctrl_fit, lw=lw,\n",
    "                 alpha=alpha_ctrl_fit, label='CTRL fit')\n",
    "\n",
    "    for ii, patient in enumerate(patients):\n",
    "        bins = int(v_max / binsize)   #number of Bins in histogram\n",
    "\n",
    "        result_file = os.path.join(result_summary_folder, patient + \"_results_MCFM.tsv\")\n",
    "        df_results = pd.read_csv(result_file, sep='\\t')\n",
    "\n",
    "        dates = np.unique(df_results['date'])\n",
    "        dates = np.sort(dates)\n",
    "\n",
    "        day0 = dates[0]\n",
    "\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        df_date = df_results[df_results['date']==day0]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        healthy_index = df['health'] == 0\n",
    "        df_healthy = df[healthy_index]\n",
    "        unhealthy_index = df['health'] == 1\n",
    "        df_unhealthy = df[unhealthy_index]\n",
    "\n",
    "        #calculate percentage of healthy cells in sample\n",
    "        percentage_healthy = len(df_healthy)/len(df)\n",
    "\n",
    "        bins_healthy, deformed_curve_healthy =  deformed_probability_curve(df_healthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_unhealthy, deformed_curve_unhealthy =  deformed_probability_curve(df_unhealthy,\n",
    "                                                                               v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "\n",
    "        bins_plot_healthy = bins_healthy[:-1]+binsize/2\n",
    "        bins_plot_unhealthy = bins_unhealthy[:-1]+binsize/2\n",
    "\n",
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    "        plt.subplot(211)\n",
    "        plt.plot(bins_plot_healthy, deformed_curve_healthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
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    "        plt.subplot(212)\n",
    "        plt.plot(bins_plot_unhealthy, deformed_curve_unhealthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
    "\n",
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    "    plt.subplot(211)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
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    "    ax2 = plt.subplot(212)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
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    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
    "    for i in range(2):\n",
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    "        ax = plt.subplot(2,1,i+1)\n",
    "        handles, labels = ax.get_legend_handles_labels()\n",
    "        handles = np.roll(handles,-1)\n",
    "        labels = np.roll(labels, -1)\n",
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    "        ax.legend(handles=list(handles), labels=list(labels), fontsize=fontsize-2, ncol=2)\n",
    "\n",
    "    plt.tight_layout(w_pad=2)\n",
    "\n",
    "    savename = \"fig1AB_baseline_shape_analysis\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "\n",
    "    fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Plots for panels F and G and calculation of p-values with linear mixed effect models"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
   "execution_count": 10,
   "outputs": [],
   "source": [
    "def plot_violins(dataframe, x_axis, y_axis,\n",
    "                 pal='tab10', color=None, saturation=.9, order=None,\n",
    "                 fontsize_labels = 18, figsize = (6,6),\n",
    "                 stripplot=False, stripalpha=0.3, stripjitter=.1):\n",
    "\n",
    "    ort = \"v\"     #plot orientation\n",
    "    color_ctrl = sns.color_palette('Set2')[7] #color for the control sample\n",
    "\n",
    "    if pal == 'chac_paper_custom':\n",
    "        # adapt new color palette, so that P4 is purple and P5 is red\n",
    "        pal_custom = sns.color_palette('tab10', 5)\n",
    "        palette = pal_custom.copy()\n",
    "        palette[3] = pal_custom[4]\n",
    "        palette[4] = pal_custom[3]\n",
    "        palette.insert(0, color_ctrl)\n",
    "    elif pal is not None:\n",
    "        palette = sns.color_palette(pal)\n",
    "        palette.insert(0, color_ctrl)\n",
    "    else:\n",
    "        palette = None\n",
    "\n",
    "    #some plotting parameters\n",
    "    y_label = dclab.dfn.feature_name2label[y_axis]\n",
    "    sns.set(style=\"darkgrid\")\n",
    "\n",
    "    f, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    ax = sns.violinplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                        order=order, hue_order=order,\n",
    "                        palette = palette,\n",
    "                        bw = .2, cut = 0.,\n",
    "                        scale = 'area',\n",
    "                        inner = 'box',\n",
    "                        saturation = saturation,\n",
    "                        orient = ort,\n",
    "                        color=color)\n",
    "\n",
    "    if stripplot:\n",
    "        ax = sns.stripplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                           order=order, hue_order=order,\n",
    "                           palette = palette,\n",
    "                           alpha = stripalpha,\n",
    "                           jitter = stripjitter,\n",
    "                           orient = ort,\n",
    "                           zorder=1,\n",
    "                           color=color)\n",
    "\n",
    "    ctrl_median = dataframe[dataframe['patient']=='CTRL'][y_axis].median()\n",
    "    ax.axhline(ctrl_median, c='gray', alpha=.5, ls='--', zorder=1)\n",
    "\n",
    "    ax.set_ylabel(y_label, fontsize = fontsize_labels+2)\n",
    "    ax.xaxis.label.set_size(fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=fontsize_labels)\n",
    "\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(0)\n",
    "        tick.set_horizontalalignment(\"center\")\n",
    "\n",
    "    #adapt the sizes of the inner box in the violinplot\n",
    "    for child in ax.get_children():\n",
    "        #adapt widths of IQR range and 95% ci\n",
    "        if isinstance(child, matplotlib.lines.Line2D):\n",
    "            lw = child.get_linewidth()\n",
    "            child.set_linewidth(1.75*lw)\n",
    "        #change size of median marker\n",
    "        if isinstance(child, matplotlib.collections.PathCollection):\n",
    "            sizes = child.get_sizes()\n",
    "            child.set(sizes=3*sizes)\n",
    "\n",
    "    return f, ax"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Read in the data from disk"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "datafolder = r\"data\\RTfDC\"\n",
    "savename = \"20210610_RBC_baseline_plotdata.tsv\"\n",
    "savepath = os.path.join(datafolder, savename)\n",
    "\n",
    "df_rbc = pd.read_csv(savepath, sep = '\\t')\n",
    "df_rbc['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_rbc['patient'] == patient\n",
    "    df_rbc['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Projected area"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_rbc, 'patient_label', 'area_um',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_ylabel(r\"Projected area [µm$^2$]\")\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "save_name = \"fig1F_RBC_baseline_area\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistics"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "para = 'area_um'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Deformation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_rbc, 'patient_label', 'deform',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [],
   "source": [
    "save_name = \"fig1G_RBC_baseline_deformation\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Calculate p-value and other statistics"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "R installation at C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe: try({library(lme4)})\r\nLoading required package: Matrix\r\nError : package or namespace load failed for 'lme4' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):\r\n there is no package called 'statmod'\r\nIn addition: Warning message:\r\npackage 'lme4' was built under R version 3.6.3 \r\n\nPlease install 'lme4' via:\n              C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe -e \"install.packages('lme4', repos='http://cran.r-project.org')\n              ",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mOSError\u001B[0m                                   Traceback (most recent call last)",
      "\u001B[1;32m<ipython-input-10-7e28e99109b9>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m      3\u001B[0m Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n\u001B[0;32m      4\u001B[0m                    \u001B[1;31m#df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m----> 5\u001B[1;33m                    timeunit=df_rbc['repeat']+1, model='lmm')\n\u001B[0m\u001B[0;32m      6\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      7\u001B[0m \u001B[0mprint\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m\"p-Value (Likelihood Ratio Test):\"\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mResult\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;34m\"p-Value (Likelihood Ratio Test)\"\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32m~\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\Jupyter\\figure_plots\\lin_mixed_model.py\u001B[0m in \u001B[0;36mlinmixmod\u001B[1;34m(xs, treatment, timeunit, model, RCMD)\u001B[0m\n\u001B[0;32m    461\u001B[0m                       \"\"\"Please install 'lme4' via:\n\u001B[0;32m    462\u001B[0m               \u001B[1;33m{\u001B[0m\u001B[1;33m}\u001B[0m \u001B[1;33m-\u001B[0m\u001B[0me\u001B[0m\u001B[0;31m \u001B[0m\u001B[0;31m\"\u001B[0m\u001B[0minstall\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpackages\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m'lme4'\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrepos\u001B[0m\u001B[1;33m=\u001B[0m\u001B[1;34m'http://cran.r-project.org'\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 463\u001B[1;33m               \"\"\".format(RCMD)\n\u001B[0m\u001B[0;32m    464\u001B[0m                       )\n\u001B[0;32m    465\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;31mOSError\u001B[0m: R installation at C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe: try({library(lme4)})\r\nLoading required package: Matrix\r\nError : package or namespace load failed for 'lme4' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):\r\n there is no package called 'statmod'\r\nIn addition: Warning message:\r\npackage 'lme4' was built under R version 3.6.3 \r\n\nPlease install 'lme4' via:\n              C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe -e \"install.packages('lme4', repos='http://cran.r-project.org')\n              "
     ]
    }
   ],
   "source": [
    "para = 'deform'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels H and I"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Lymphocyte files"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [],
   "source": [
    "lympho_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_lymphos\"\n",
    "\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "lympho_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for lymphocytes"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "df_lympho = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(lympho_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(lympho_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_lympho = df_lympho.append(df, ignore_index=True)\n",
    "\n",
    "df_lympho['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_lympho['patient'] == patient\n",
    "    df_lympho['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 2.5)"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_lympho, 'patient_label', 'emodulus',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
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    "ax.set_ylabel(\"Young's modulus [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [],
   "source": [
    "save_name = \"fig1H_WBC_lympho_baseline_emod\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistical tests"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_lympho['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for myelocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [],
   "source": [
    "myelo_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_myelos\"\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "myelo_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "df_myelo = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(myelo_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(myelo_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_myelo = df_myelo.append(df, ignore_index=True)\n",
    "\n",
    "df_myelo['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_myelo['patient'] == patient\n",
    "    df_myelo['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 1.8)"
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "fig, ax = plot_violins(df_myelo, 'patient_label', 'emodulus',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
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    "ax.set_ylabel(\"Young's modulus [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(.5,1.8)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [],
   "source": [
    "save_name = \"fig1I_WBC_myelo_baseline_emod\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_myelo[para], treatment=df_myelo['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_myelo['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",