cap1/Income1Univariate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# <span style=\"color:rgb(213,80,0)\">Univariate analysis of the response for dataset Income1.</span>\n",
    "\n",
    "This file creates Figures 1.2 \\-\\-\\-\\-\\- 1.5 and Tables 1.1, 1.2.\n",
    "\n",
    "## Data loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "source": [
    "clear\n",
    "close all\n",
    "load Income1\n",
    "\n",
    "% y  in array format\n",
    "y=Income1{:,\"HTOTVAL\"};\n",
    "\n",
    "% y in table format\n",
    "yt=Income1(:,end);\n",
    "\n",
    "n=length(y);\n",
    "one=ones(n,1);\n",
    "\n",
    "FontSize=14;\n",
    "prin=0;"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Figure 1.2\n",
    "\n",
    "histogram and boxplot; positive skewness is evident in both panels.\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "source": [
    "subplot(1,2,1)\n",
    "histogram(y)\n",
    "xlabel('Income','FontSize',FontSize)\n",
    "ylabel('Frequencies','FontSize',FontSize)\n",
    "subplot(1,2,2)\n",
    "boxplot(y,'Labels',{''})\n",
    "ylabel('Income','FontSize',FontSize)\n",
    "if prin==1\n",
    "    % print to postscript\n",
    "    print -depsc histbox.eps;\n",
    "else\n",
    "    sgtitle('Figure 1.2')\n",
    "    set(gcf,\"Name\",'Figure 1.2')\n",
    "end"
   ],
   "outputs": [
    {
     "data": {
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mDJlSqdOnQYNGhQKhRIVr5UbMGBAcXFxM24YjUb/8pe/1BkMh8M9e/ZsxrsAAAAAkHC+BMkh5IgjjrjjjjtmzZrVvXv3RGUYMGDAq6++evHFF2tAAgAAALQxoVBo1KhR1157bf2paDR6/fXX/8d//EdtbW38gx2aPvroo/fee6/OYK9evfLy8hKSBwAAAIAWogTJoSU5Ofl73/vef/7nf95www0pKSnxvHX37t1nz5799NNP5+fnx/O+AAAAAMRNOBy++uqrL7vssvpT0Wj05ptvvvvuu8vLy+Mf7FBTWVn51FNP1TlfOykpqU+fPllZWQmJBAAAAEALUYLkUJSenj5p0qTXXnvtkksuiUMVsrCw8PHHH3/11VeHDBniA5AAAAAAbVtGRsbkyZMb7EEGQfBv//ZvZ5999jPPPFO/n0dzCYLgmWeeefnll+uMh8Ph4cOHt2vXLiGpAAAAAGghSpAcuvLy8u6+++5333136tSphYWFzb5/JBK5/PLLX3755ZdffnnYsGGpqanNfgsAAAAAWqGMjIxbb7315ptvbvCF2IqKijvvvPO0006bOnXqBx98EARB/BO2YUEQPPfcc9OnT68/deaZZ373u9+NfyQAAAAAWpSP0nGoi0QiY8aMOf/888vKyv7rv/7rjTfeeOedd2pqavZvt5SUlBNOOGHYsGFnnHFGz549ffcRAAAA4NCUmpp6zTXXdOnS5ec//3lFRUX9BdFodNasWbNmzUpJSenfv/9pp5129NFHd+/e/YgjjgiFQu3bt09O9gb7Ptu5c+eMGTPmzJlTv1oaiUTGjx8fiURa6NaDBg3a+8UPPPDAeeed10JJAAAA2rZ58+bddNNNiU4BtC4aWpCUlJQUCoVyc3PHjx8/fvz4IAi2bNmyfv36NWvWlJSUFBcXf/nllx9//HGdJ6e5ublHHnnk4YcffsIJJ3Tt2rWgoODb3/52VlaWx9MAAAAAh5rq6uo//elP1dXVdcaPPPLISZMmPfTQQzt27Gjs2pqamqVLly5durSFMzagb9++c+bM6dixY/xv3exisdif/vSne++9d+XKlQ0uuOGGG/r37x/nVABwcCktLd291r9kyZK8vLwE5gEAgL2kBAl1hcPh3Nzc3NzcwYMHJzoLAAAAAAeBnTt33nvvvatXr050kENUeXn5jBkznn/++cbOFr/uuusuvvjiUCgU52AAAAAAxIESJAAAAAAAB6Xq6uoFCxbcf//9DZ45npSUFA6Hf/KTn1x77bXhsIfhAAAAAG2T5z4AAAAAABxk9nj+dVJSUiQSufvuu0eOHJmcnNzSeZ577rm9PzDU0aIAAAD7rX///kuWLNnLxaWlpWPHjm3RPEBroAQJAAAAAMDBZI/nXyclJQ0YMODnP/95fn5+fCLl5eWpNgIAAMSBP3wB9SlBAgAAAABwcNjj+ddJSUndu3e/7bbbBg8enJqaGs9sAAAAACSEEiQAAAAAAK3d3px/nZKSct11111xxRXp6enxzAYAAABAAilBAgAAAADQqu3N+ddDhw694447unXrFs9gAAAAACScEiQAAAAAAK1UEAQvvvji1KlTmzj/urCw8Oabbx48eHBycnI8swEAAADQGihBwn6qra2trKzMyMjwaBUAAAAAWsK2bdumTJlSVFTU2IKsrKybb7555MiRqamp8QwGAAAAQOuhBAmNqqys/Pzzz4uLi99///0vvvhizZo1f/vb39avX19TU/P1gr59+86ZM6djx451LtSPBAAAADikdOjQYe7cubFYLNFB9k0oFGrfvn2iUzRq48aNN9xww6pVqxqcDYfDF1100aRJk7Kzs+McDAAAAIBWRQkS/lcQBKWlpStXrnzttddWrVrVxAk7Tdu+ffuVV15ZXFw8bNiwkSNHnnzyyWlpac0bFQAAAIDWIzk5OTMzM9Ep2pR169ZNmjRp/fr1Dc7269fvpz/9aZ8+fUKhUJyDAQAAANDaKEFCUlVV1bvvvrtgwYKFCxdGo9Hm2jYajc6bN2/evHmRSGTs2LEXXXTRUUcd5bEsAAAAADRt48aNt99+e4MNyJSUlMmTJ1922WXOvwYAAADga0qQHLpisdgnn3wya9asoqKib064bgnRaHTWrFlz5swZOnTorbfe2q1bt5a7FwAAAAAc1KLR6M9+9rMGT8Hu27fvPffcc/zxx8c/FQAAAACtVnKiA0ACxGKxP//5z1ddddVZZ531m9/8pkUbkN8IguDVV1/9/ve/P2PGjJ07d8bhjgAAAABwcAmCYPbs2YsWLao/NWrUqLlz52pAAgAAAFCHEiSHnE2bNk2cOHH06NGvv/56/O9eU1Mzffr0cePGrVmzJv53BwAAAIDW7N13333qqafqj1911VVTpkzJzMyMeyIAAAAAWjslSA4htbW1L7744o9+9KNXX301CIIEJlm9evW4ceNeeumlWCyWwBgAAAAA0HpEo9G5c+dGo9E64xMnTpw8eXJaWlpCUgEAAADQyoUTHQDi5K9//ev06dOffvrpRAf5u2g0Onny5G3bto0dOzYc9pMIAAAAwKHuv//7v9944406gwMHDhw/fnxqamoiEgEAAABwEFC94pBQXl5+++23L1q0KNFB/o8gCKZMmZKamjpmzJjkZJ9lBQAAAODQVV1d/fLLL9c5vyU7O/vmm292CjYAAAAATdC7ou1rnQ3IrwVB8M///M/z5s1zLjYAAAAAh7LNmzevWrWqzuDIkSO/853vJCQPAAAAAAcLX4KkjausrLzvvvv2rwGZkpLSq1evE0888Vvf+tZ//Md/lJeX7+WFoVAoEons5eIgCB588MGjjz76uOOO24+QAAAAANAGrF27tqSkZPeR7Ozs0aNHh8MeYgMAAADQFM+PaMuCIJgzZ05RUdHeX5Kfnz9s2LDBgwcXFhZ26NAhFAolJSV98cUXK1eu3PsSZGZm5q9//estW7YsWLDg17/+9ebNm5teX15efv/99z/88MNO9gEAAADgEBQEwYoVK+oM9u3b96ijjkpIHgAAAAAOIkqQtGXvvvvu3Llz92Zl165dx40bN3LkyJycnK+LjwcoFAp16dLlmmuuufjii5988slHH320pqamifVLly5dsGDBpZde2ix3h/+PvXsNr7o688e9d9ySCUmEEBINCYQgYFUgUuQwIwdBR6pOqQzFakWrclmt4jijFlpF26JT6+U4rVAqKlLqeGjFQ7WtdiqtxWDlYKpUgaJIDAkHCSFIEmJgS/4vnIuf/72TkBN7Z4f7foXPWt9nPULL5eHjWgAAAAAJZP/+/RHXQAYCgeXLlw8bNqzDz7r22mvnzJnT4W0BAAAAiJekeA8AR0t1dfWSJUuqq6ub35afn//f//3fy5cv/9a3vpWbm9vhGcTU1NQbbrjhF7/4RZ8+fZrf+cQTT5SWlnbs6QAAAADQ+VVWVvonYwAAAAC0jZsg6bKKior+/Oc/N7/n0ksvvfXWW4/2I9TBYHDMmDGPPPLIrFmzov+L9sM2b968YsWK/Pz8RLkM8sCBA+vXr3/zzTeLi4vLyso2b958+LbLzMzM/v37Dx8+fMyYMcOHDz9KP8MHDhx45513ioqKVq9eXV5evm3bts/qubm5AwcOHDdu3Lhx404++eSkJGlvAAAAgE5t9+7dO3bsiPcUAAAAACQkIUi6ppqamhdffDEcDje1IRQKzZ079+tf/3ooFKP/F5x66qk/+MEPbrjhhmYup3zhhRcuvPDC3r17x2aktmloaHjvvfd+/vOfP//880298V1ZWVlZWVlcXLx48eJAIDBy5Mjrr7/+rLPO6qif7Z07dz7xxBOPPfZYoz+Z27Zt27Zt24oVKwKBQH5+/k033TR58uSUlJQOORoAAACADrdr165m/lEeAAAAADTDBWl0TZs2bXr99debWg2FQnfdddeMGTNiloD8zFlnnTV37txmDn333XfXr18fy5Faa9u2bddee+3555//9NNPN5WAjLZ27dqrrrrqsssuW7duXUNDQ3sGqK+vf/zxxydMmLBw4cIjvnUeCARKS0tvvvnmCy64YM2aNe08GgAAAICjpKamJt4jAACBvLy8LZ+Tl5cX74kAAKBFhCDpghoaGv74xz/W1tY2tWH69OkXXXRR7F9JDgaDU6ZMmT59elMbwuHwypUrO+d/9d7Q0FBUVHTRRRctX768bR3Wrl178cUXP/nkk23+E6yqqrrtttvuvPPOlucvP1NaWjpjxozFixd3zp9bAAAAgGPchx9+GO8RAAAAAEhUnsOmC6qsrFy1alVTqwMHDrzmmmuSk5NjOdJhycnJV1555YoVK7Zv397ohuLi4r1793a2F7EbGhpeeeWVb3/72y25fLEZBw8evOOOO3bt2nXjjTe29hrOXbt23XrrrStXrmzb0eFw+J577tm3b9+sWbPi9asPAAAAdEJVVVV33nlneXl5vAeJg7y8vHnz5mVkZMR7kMCcOXPmzJkT7ykAAAAASEhCkHRBO3fuLCsra2r1sssuy8/Pj+U8EQoKCqZOnbpw4cJGV8vKynbu3NnZQpCrV69ufwLysAULFgQCgVblIGtqau699942JyAPW7hwYVJSUhsimAAAAEBX1dDQUF5evm7dungPEh8NDQ3xHgEAAAAAry0zLAAAIABJREFU2kUMiC6otLS0srKy0aWCgoIJEyYEg8EYj/R5oVBo8uTJv/zlLxsdsrKysrS0dMiQIbEfrCkVFRXz589vNAEZCoXOPvvsSy65ZOjQoRkZGZ8lCw8cOFBRUfGXv/zlmWeeWbt2baM9ly5dOnLkyLFjx7ZkgHA4/Mgjjzz//PNNDXD55ZcPGTKkZ8+ewWAwHA5/9NFHRUVFv/jFLzZt2hT9yYMPPnjKKadccMEFLTkaAAAAAAAAAADozJLiPQB0vL///e9NLY0YMSInJyeWwzSqf//+w4cPb2q1pKQklsM0r6Gh4aWXXmr0efGJEycuX7784YcfnjRpUlZW1uG7Fbt165abmzt9+vSn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width=\"562\" alt=\"figure_0.png\"></center>"
      ]
     },
     "metadata": {},
     "execution_count":  2,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Figure 1.3\n",
    "\n",
    "Boxplots for four value of lambda using the normalized Box Cox power transformation after preliminary rescaling of the data to a maximum value of one.\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "source": [
    "yl1=-1;\n",
    "yl2=0;\n",
    "yrs=y/max(y);\n",
    "figure\n",
    "subplot(2,2,1)\n",
    "ytra=normBoxCox(yrs,1,1,'Jacobian',true);\n",
    "boxplot(ytra,'Labels',{''})\n",
    "title(' $\\lambda=1$ ','Interpreter','latex','FontSize',FontSize)\n",
    "ylim([yl1 yl2])\n",
    "\n",
    "subplot(2,2,2)\n",
    "ytra=normBoxCox(yrs,1,0.5,'Jacobian',true);\n",
    "boxplot(ytra,'Labels',{''})\n",
    "title(' $\\lambda=0.5$ ','Interpreter','latex','FontSize',FontSize)\n",
    "ylim([yl1 yl2])\n",
    "\n",
    "subplot(2,2,3)\n",
    "ytra=normBoxCox(yrs,1,0,'Jacobian',true);\n",
    "boxplot(ytra,'Labels',{''})\n",
    "title(' $\\lambda=0$ ','Interpreter','latex','FontSize',FontSize)\n",
    "ylim([yl1 yl2])\n",
    "\n",
    "subplot(2,2,4)\n",
    "ytra=normBoxCox(yrs,1,-0.5,'Jacobian',true);\n",
    "boxplot(ytra,'Labels',{''})\n",
    "title(' $\\lambda=-0.5$ ','Interpreter','latex','FontSize',FontSize)\n",
    "ylim([yl1 yl2])\n",
    "\n",
    "if prin==1\n",
    "    % print to postscript\n",
    "    print -depsc boxla.eps;\n",
    "else\n",
    "    sgtitle('Figure 1.3')\n",
    "    set(gcf,\"Name\",'Figure 1.3')\n",
    "end"
   ],
   "outputs": [
    {
     "data": {
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       "<center><img 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width=\"562\" alt=\"figure_1.png\"></center>"
      ]
     },
     "metadata": {},
     "execution_count":  3,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Table 1.1\n",
    "\n",
    "Analysis of the score test\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "source": [
    "la=[-1, -0.5, 0, 0.5, 1];\n",
    "out=Score(y,one, 'la', la,'intercept',false);\n",
    "\n",
    "Score1=out.Score;\n",
    "rownam=[\"Inverse\" \"Reciprocal square root\" \"Logarithmic\" \"Square root\" \"None\"];\n",
    "colnam=[\"lambda\" \"Score test\"];\n",
    "\n",
    "ScoreT=array2table([la' Score1],\"RowNames\",rownam,\"VariableNames\",colnam);\n",
    "format bank\n",
    "disp(\"Table 1.1\")"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Table 1.1"
      ]
     },
     "metadata": {},
     "execution_count":  4,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "source": [
    "disp(ScoreT)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                              lambda    Score test\n",
       "                              ______    __________\n",
       "    Inverse                   -1.00        25.68  \n",
       "    Reciprocal square root    -0.50        12.91  \n",
       "    Logarithmic                0.00         1.61  \n",
       "    Square root                0.50        -9.46  \n",
       "    None                       1.00       -21.68"
      ]
     },
     "metadata": {},
     "execution_count":  5,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Table 1.2\n",
    "\n",
    "Descriptive statistics Table 1.2\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "source": [
    "ysor=sort(y);\n",
    "\n",
    "alpha=0.10;\n",
    "m=floor((n-1)*alpha);\n",
    "meanTri=mean(ysor(m+1:n-m));\n",
    "% meanTriCHK=trimmean(y,100*alpha)\n",
    "mea=mean(y);\n",
    "medi=median(y);\n",
    "sta=std(y);\n",
    "consfact=1/norminv(0.75);\n",
    "madn=consfact*mad(y,1);\n",
    "\n",
    "loc=[mea; meanTri; medi; sta; madn];\n",
    "\n",
    "y1=log(y);\n",
    "ysor1=sort(y1);\n",
    "meanTri1=mean(ysor1(m+1:n-m));\n",
    "mea1=mean(y1);\n",
    "medi1=median(y1);\n",
    "sta1=std(y1);\n",
    "madn1=consfact*mad(y1,1);\n",
    "\n",
    "loc1=[mea1; meanTri1; medi1; sta1; madn1];\n",
    "\n",
    "LOC=[loc loc1];\n",
    "rn=[\"Mean\" \"Trimmed mean\" \"Median\" \"Standard Deviation\" \"MADN\"];\n",
    "rc=[\"Original data\" \"logged data\"];\n",
    "LOCt=array2table(LOC,'RowNames',rn,'VariableNames',rc);\n",
    "disp(\"Table 1.2\")"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Table 1.2"
      ]
     },
     "metadata": {},
     "execution_count":  6,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "source": [
    "disp(LOCt)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                          Original data    logged data\n",
       "                          _____________    ___________\n",
       "    Mean                    109557.52         11.33   \n",
       "    Trimmed mean             95172.62         11.34   \n",
       "    Median                   84881.00         11.35   \n",
       "    Standard Deviation       86394.86          0.75   \n",
       "    MADN                     63084.72          0.70"
      ]
     },
     "metadata": {},
     "execution_count":  7,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare input for Figure 1.4\n",
    "\n",
    "Trimmed mean monitoring\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "source": [
    "alphaAll=(0:0.01:0.5)';\n",
    "lalphaAll=length(alphaAll);\n",
    "meanTru=zeros(lalphaAll,1);\n",
    "% meanTru1=meanTru;\n",
    "ysor=sort(y);\n",
    "for i=1:lalphaAll\n",
    "    m=floor((n-1)*alphaAll(i));\n",
    "    meanTru(i)=mean(ysor(m+1:n-m));\n",
    "    % meanTru1(i)=trimmean(y,100*alphaAll(i));\n",
    "end"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Figure 1.4\n",
    "\n",
    "Monitoring of the trimmed mean\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "source": [
    "figure\n",
    "plot(alphaAll,meanTru)\n",
    "xlabel('\\alpha','FontSize',FontSize)\n",
    "xlim([0 0.5])\n",
    "meany=mean(y);\n",
    "mediany=median(y);\n",
    "yline(meany)\n",
    "yline(mediany)\n",
    "ylabel(' $\\overline y_\\alpha$ ','Interpreter','latex','FontSize',FontSize)\n",
    "text(0.45,meany-1000,\" $\\hat \\mu = \\overline y_n$ \",'Interpreter','latex','FontSize',FontSize)\n",
    "text(0.15,mediany+600,\"med\",'Interpreter','latex','FontSize',FontSize)\n",
    "\n",
    "set(gca,\"XDir\",\"reverse\")\n",
    "\n",
    "if prin==1\n",
    "    % print to postscript\n",
    "    print -depsc trimmeanIncome1.eps;\n",
    "else\n",
    "    title('Figure 1.4')\n",
    "    set(gcf,\"Name\",'Figure 1.4')\n",
    "\n",
    "end"
   ],
   "outputs": [
    {
     "data": {
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width=\"562\" alt=\"figure_2.png\"></center>"
      ]
     },
     "metadata": {},
     "execution_count":  9,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Figure 1.5 fanplot\n",
    "\n",
    "Fanplot using just the intercept\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "source": [
    "outFSRfanUNI=FSRfan(y,one,'intercept',0,'ylimy',[-24 26],'nsamp',0);"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Total estimated time to complete LMS:  0.05 seconds \n",
       "Total estimated time to complete LMS:  0.09 seconds \n",
       "Total estimated time to complete LMS:  0.01 seconds \n",
       "Total estimated time to complete LMS:  0.00 seconds \n",
       "Total estimated time to complete LMS:  0.00 seconds"
      ]
     },
     "metadata": {},
     "execution_count":  10,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "source": [
    "\n",
    "if prin==1\n",
    "    % print to postscript\n",
    "    print -depsc fanIncome1.eps;\n",
    "else\n",
    "    title('Figure 1.5')\n",
    "    set(gcf,\"Name\",'Figure 1.5')\n",
    "\n",
    "end"
   ],
   "outputs": [
    {
     "data": {
      "text/html": [
       "<center><img 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width=\"562\" alt=\"figure_3.png\"></center>"
      ]
     },
     "metadata": {},
     "execution_count":  11,
     "output_type": "execute_result"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visual display of the trimmed mean calling GUItrimmedmean\n",
    "\n",
    "Note that given that GUItrimmean trims alpha72 from both tails it is necessary to use (2\\*alpha)\\*100=20 to have the 10 per cent trimmed mean\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "source": [
    "%{\n",
    "    y15=y(1:15);\n",
    "    outTRI=GUItrimmean(y15,20);\n",
    "    disp(\"Trimmed mean alpha=0.10 using call to GUItrimmean\")\n",
    "    disp(outTRI.trimmedmean)\n",
    "%}\n",
    "\n",
    "%InsideREADME"
   ],
   "outputs": []
}
 ],
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