30 seconds of r-code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 30 seconds of r-code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Base-R expressions to get some basic things done in less than 30 seconds. Inspired by https://github.com/Chalarangelo/30-seconds-of-code "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Table of contents**\n",
    "\n",
    "\n",
    "  * [Creating a 10\\*10 matrix with random numbers](#creating-a-10--10-matrix-with-random-numbers)\n",
    "  * [Matrix to Dataframe](#matrix-to-dataframe)\n",
    "  * [Scatter Plot to understand Correlation](#scatter-plot-to-understand-correlation)\n",
    "  * [Correlation Matrix](#correlation-matrix)\n",
    "  * [Dimension of a dataframe](#dimension-of-a-dataframe)\n",
    "  * [Transposing a dataframe](#transposing-a-dataframe)\n",
    "  * [Group Count](#group-count)\n",
    "  * [Grouped Airthmetic Operation](#grouped-airthmetic-operation)\n",
    "  * [New Function Creating (String Concatenation)](#new-function-creationg--string-concatenation-)\n",
    "  * [Current Time and Date](#current-time-and-date)\n",
    "  * [Boolean to Integer Typecasting](#boolean-to-integer-typecasting)\n",
    "  * [Counting Number of Characters in a string](#counting-number-of-characters-in-a-string)\n",
    "  * [Counting Number of Words in a string](#counting-number-of-words-in-a-string)\n",
    "  * [Length of each word in a string](#length-of-each-word-in-a-string)\n",
    "  * [Extracting Words starting with 's' in a string](#extracting-words-starting-with--s--in-a-string)\n",
    "  * [String to Lower Case and to Upper Case](#string-to-lower-case-and-to-upper-case)\n",
    "  * [String Find and Replace](#string-find-and-replace)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a 10\\*10 matrix with random numbers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tbody>\n",
       "\t<tr><td>-0.56047565 </td><td> 1.2240818  </td><td>-1.0678237  </td><td> 0.42646422 </td><td>-0.69470698 </td><td> 0.25331851 </td><td> 0.37963948 </td><td>-0.4910312  </td><td> 0.005764186</td><td> 0.9935039  </td></tr>\n",
       "\t<tr><td>-0.23017749 </td><td> 0.3598138  </td><td>-0.2179749  </td><td>-0.29507148 </td><td>-0.20791728 </td><td>-0.02854676 </td><td>-0.50232345 </td><td>-2.3091689  </td><td> 0.385280401</td><td> 0.5483970  </td></tr>\n",
       "\t<tr><td> 1.55870831 </td><td> 0.4007715  </td><td>-1.0260044  </td><td> 0.89512566 </td><td>-1.26539635 </td><td>-0.04287046 </td><td>-0.33320738 </td><td> 1.0057385  </td><td>-0.370660032</td><td> 0.2387317  </td></tr>\n",
       "\t<tr><td> 0.07050839 </td><td> 0.1106827  </td><td>-0.7288912  </td><td> 0.87813349 </td><td> 2.16895597 </td><td> 1.36860228 </td><td>-1.01857538 </td><td>-0.7092008  </td><td> 0.644376549</td><td>-0.6279061  </td></tr>\n",
       "\t<tr><td> 0.12928774 </td><td>-0.5558411  </td><td>-0.6250393  </td><td> 0.82158108 </td><td> 1.20796200 </td><td>-0.22577099 </td><td>-1.07179123 </td><td>-0.6880086  </td><td>-0.220486562</td><td> 1.3606524  </td></tr>\n",
       "\t<tr><td> 1.71506499 </td><td> 1.7869131  </td><td>-1.6866933  </td><td> 0.68864025 </td><td>-1.12310858 </td><td> 1.51647060 </td><td> 0.30352864 </td><td> 1.0255714  </td><td> 0.331781964</td><td>-0.6002596  </td></tr>\n",
       "\t<tr><td> 0.46091621 </td><td> 0.4978505  </td><td> 0.8377870  </td><td> 0.55391765 </td><td>-0.40288484 </td><td>-1.54875280 </td><td> 0.44820978 </td><td>-0.2847730  </td><td> 1.096839013</td><td> 2.1873330  </td></tr>\n",
       "\t<tr><td>-1.26506123 </td><td>-1.9666172  </td><td> 0.1533731  </td><td>-0.06191171 </td><td>-0.46665535 </td><td> 0.58461375 </td><td> 0.05300423 </td><td>-1.2207177  </td><td> 0.435181491</td><td> 1.5326106  </td></tr>\n",
       "\t<tr><td>-0.68685285 </td><td> 0.7013559  </td><td>-1.1381369  </td><td>-0.30596266 </td><td> 0.77996512 </td><td> 0.12385424 </td><td> 0.92226747 </td><td> 0.1813035  </td><td>-0.325931586</td><td>-0.2357004  </td></tr>\n",
       "\t<tr><td>-0.44566197 </td><td>-0.4727914  </td><td> 1.2538149  </td><td>-0.38047100 </td><td>-0.08336907 </td><td> 0.21594157 </td><td> 2.05008469 </td><td>-0.1388914  </td><td> 1.148807618</td><td>-1.0264209  </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{llllllllll}\n",
       "\t -0.56047565  &  1.2240818   & -1.0678237   &  0.42646422  & -0.69470698  &  0.25331851  &  0.37963948  & -0.4910312   &  0.005764186 &  0.9935039  \\\\\n",
       "\t -0.23017749  &  0.3598138   & -0.2179749   & -0.29507148  & -0.20791728  & -0.02854676  & -0.50232345  & -2.3091689   &  0.385280401 &  0.5483970  \\\\\n",
       "\t  1.55870831  &  0.4007715   & -1.0260044   &  0.89512566  & -1.26539635  & -0.04287046  & -0.33320738  &  1.0057385   & -0.370660032 &  0.2387317  \\\\\n",
       "\t  0.07050839  &  0.1106827   & -0.7288912   &  0.87813349  &  2.16895597  &  1.36860228  & -1.01857538  & -0.7092008   &  0.644376549 & -0.6279061  \\\\\n",
       "\t  0.12928774  & -0.5558411   & -0.6250393   &  0.82158108  &  1.20796200  & -0.22577099  & -1.07179123  & -0.6880086   & -0.220486562 &  1.3606524  \\\\\n",
       "\t  1.71506499  &  1.7869131   & -1.6866933   &  0.68864025  & -1.12310858  &  1.51647060  &  0.30352864  &  1.0255714   &  0.331781964 & -0.6002596  \\\\\n",
       "\t  0.46091621  &  0.4978505   &  0.8377870   &  0.55391765  & -0.40288484  & -1.54875280  &  0.44820978  & -0.2847730   &  1.096839013 &  2.1873330  \\\\\n",
       "\t -1.26506123  & -1.9666172   &  0.1533731   & -0.06191171  & -0.46665535  &  0.58461375  &  0.05300423  & -1.2207177   &  0.435181491 &  1.5326106  \\\\\n",
       "\t -0.68685285  &  0.7013559   & -1.1381369   & -0.30596266  &  0.77996512  &  0.12385424  &  0.92226747  &  0.1813035   & -0.325931586 & -0.2357004  \\\\\n",
       "\t -0.44566197  & -0.4727914   &  1.2538149   & -0.38047100  & -0.08336907  &  0.21594157  &  2.05008469  & -0.1388914   &  1.148807618 & -1.0264209  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| -0.56047565  |  1.2240818   | -1.0678237   |  0.42646422  | -0.69470698  |  0.25331851  |  0.37963948  | -0.4910312   |  0.005764186 |  0.9935039   | \n",
       "| -0.23017749  |  0.3598138   | -0.2179749   | -0.29507148  | -0.20791728  | -0.02854676  | -0.50232345  | -2.3091689   |  0.385280401 |  0.5483970   | \n",
       "|  1.55870831  |  0.4007715   | -1.0260044   |  0.89512566  | -1.26539635  | -0.04287046  | -0.33320738  |  1.0057385   | -0.370660032 |  0.2387317   | \n",
       "|  0.07050839  |  0.1106827   | -0.7288912   |  0.87813349  |  2.16895597  |  1.36860228  | -1.01857538  | -0.7092008   |  0.644376549 | -0.6279061   | \n",
       "|  0.12928774  | -0.5558411   | -0.6250393   |  0.82158108  |  1.20796200  | -0.22577099  | -1.07179123  | -0.6880086   | -0.220486562 |  1.3606524   | \n",
       "|  1.71506499  |  1.7869131   | -1.6866933   |  0.68864025  | -1.12310858  |  1.51647060  |  0.30352864  |  1.0255714   |  0.331781964 | -0.6002596   | \n",
       "|  0.46091621  |  0.4978505   |  0.8377870   |  0.55391765  | -0.40288484  | -1.54875280  |  0.44820978  | -0.2847730   |  1.096839013 |  2.1873330   | \n",
       "| -1.26506123  | -1.9666172   |  0.1533731   | -0.06191171  | -0.46665535  |  0.58461375  |  0.05300423  | -1.2207177   |  0.435181491 |  1.5326106   | \n",
       "| -0.68685285  |  0.7013559   | -1.1381369   | -0.30596266  |  0.77996512  |  0.12385424  |  0.92226747  |  0.1813035   | -0.325931586 | -0.2357004   | \n",
       "| -0.44566197  | -0.4727914   |  1.2538149   | -0.38047100  | -0.08336907  |  0.21594157  |  2.05008469  | -0.1388914   |  1.148807618 | -1.0264209   | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "      [,1]        [,2]       [,3]       [,4]        [,5]        [,6]       \n",
       " [1,] -0.56047565  1.2240818 -1.0678237  0.42646422 -0.69470698  0.25331851\n",
       " [2,] -0.23017749  0.3598138 -0.2179749 -0.29507148 -0.20791728 -0.02854676\n",
       " [3,]  1.55870831  0.4007715 -1.0260044  0.89512566 -1.26539635 -0.04287046\n",
       " [4,]  0.07050839  0.1106827 -0.7288912  0.87813349  2.16895597  1.36860228\n",
       " [5,]  0.12928774 -0.5558411 -0.6250393  0.82158108  1.20796200 -0.22577099\n",
       " [6,]  1.71506499  1.7869131 -1.6866933  0.68864025 -1.12310858  1.51647060\n",
       " [7,]  0.46091621  0.4978505  0.8377870  0.55391765 -0.40288484 -1.54875280\n",
       " [8,] -1.26506123 -1.9666172  0.1533731 -0.06191171 -0.46665535  0.58461375\n",
       " [9,] -0.68685285  0.7013559 -1.1381369 -0.30596266  0.77996512  0.12385424\n",
       "[10,] -0.44566197 -0.4727914  1.2538149 -0.38047100 -0.08336907  0.21594157\n",
       "      [,7]        [,8]       [,9]         [,10]     \n",
       " [1,]  0.37963948 -0.4910312  0.005764186  0.9935039\n",
       " [2,] -0.50232345 -2.3091689  0.385280401  0.5483970\n",
       " [3,] -0.33320738  1.0057385 -0.370660032  0.2387317\n",
       " [4,] -1.01857538 -0.7092008  0.644376549 -0.6279061\n",
       " [5,] -1.07179123 -0.6880086 -0.220486562  1.3606524\n",
       " [6,]  0.30352864  1.0255714  0.331781964 -0.6002596\n",
       " [7,]  0.44820978 -0.2847730  1.096839013  2.1873330\n",
       " [8,]  0.05300423 -1.2207177  0.435181491  1.5326106\n",
       " [9,]  0.92226747  0.1813035 -0.325931586 -0.2357004\n",
       "[10,]  2.05008469 -0.1388914  1.148807618 -1.0264209"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "set.seed(123)\n",
    "new_matrix <- matrix(rnorm(100), nrow = 10, ncol = 10)\n",
    "new_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Matrix to Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>1</th><th scope=col>2</th><th scope=col>3</th><th scope=col>4</th><th scope=col>5</th><th scope=col>6</th><th scope=col>7</th><th scope=col>8</th><th scope=col>9</th><th scope=col>10</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>-0.56047565 </td><td> 1.2240818  </td><td>-1.0678237  </td><td> 0.42646422 </td><td>-0.69470698 </td><td> 0.25331851 </td><td> 0.37963948 </td><td>-0.4910312  </td><td> 0.005764186</td><td> 0.9935039  </td></tr>\n",
       "\t<tr><td>-0.23017749 </td><td> 0.3598138  </td><td>-0.2179749  </td><td>-0.29507148 </td><td>-0.20791728 </td><td>-0.02854676 </td><td>-0.50232345 </td><td>-2.3091689  </td><td> 0.385280401</td><td> 0.5483970  </td></tr>\n",
       "\t<tr><td> 1.55870831 </td><td> 0.4007715  </td><td>-1.0260044  </td><td> 0.89512566 </td><td>-1.26539635 </td><td>-0.04287046 </td><td>-0.33320738 </td><td> 1.0057385  </td><td>-0.370660032</td><td> 0.2387317  </td></tr>\n",
       "\t<tr><td> 0.07050839 </td><td> 0.1106827  </td><td>-0.7288912  </td><td> 0.87813349 </td><td> 2.16895597 </td><td> 1.36860228 </td><td>-1.01857538 </td><td>-0.7092008  </td><td> 0.644376549</td><td>-0.6279061  </td></tr>\n",
       "\t<tr><td> 0.12928774 </td><td>-0.5558411  </td><td>-0.6250393  </td><td> 0.82158108 </td><td> 1.20796200 </td><td>-0.22577099 </td><td>-1.07179123 </td><td>-0.6880086  </td><td>-0.220486562</td><td> 1.3606524  </td></tr>\n",
       "\t<tr><td> 1.71506499 </td><td> 1.7869131  </td><td>-1.6866933  </td><td> 0.68864025 </td><td>-1.12310858 </td><td> 1.51647060 </td><td> 0.30352864 </td><td> 1.0255714  </td><td> 0.331781964</td><td>-0.6002596  </td></tr>\n",
       "\t<tr><td> 0.46091621 </td><td> 0.4978505  </td><td> 0.8377870  </td><td> 0.55391765 </td><td>-0.40288484 </td><td>-1.54875280 </td><td> 0.44820978 </td><td>-0.2847730  </td><td> 1.096839013</td><td> 2.1873330  </td></tr>\n",
       "\t<tr><td>-1.26506123 </td><td>-1.9666172  </td><td> 0.1533731  </td><td>-0.06191171 </td><td>-0.46665535 </td><td> 0.58461375 </td><td> 0.05300423 </td><td>-1.2207177  </td><td> 0.435181491</td><td> 1.5326106  </td></tr>\n",
       "\t<tr><td>-0.68685285 </td><td> 0.7013559  </td><td>-1.1381369  </td><td>-0.30596266 </td><td> 0.77996512 </td><td> 0.12385424 </td><td> 0.92226747 </td><td> 0.1813035  </td><td>-0.325931586</td><td>-0.2357004  </td></tr>\n",
       "\t<tr><td>-0.44566197 </td><td>-0.4727914  </td><td> 1.2538149  </td><td>-0.38047100 </td><td>-0.08336907 </td><td> 0.21594157 </td><td> 2.05008469 </td><td>-0.1388914  </td><td> 1.148807618</td><td>-1.0264209  </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllll}\n",
       " 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10\\\\\n",
       "\\hline\n",
       "\t -0.56047565  &  1.2240818   & -1.0678237   &  0.42646422  & -0.69470698  &  0.25331851  &  0.37963948  & -0.4910312   &  0.005764186 &  0.9935039  \\\\\n",
       "\t -0.23017749  &  0.3598138   & -0.2179749   & -0.29507148  & -0.20791728  & -0.02854676  & -0.50232345  & -2.3091689   &  0.385280401 &  0.5483970  \\\\\n",
       "\t  1.55870831  &  0.4007715   & -1.0260044   &  0.89512566  & -1.26539635  & -0.04287046  & -0.33320738  &  1.0057385   & -0.370660032 &  0.2387317  \\\\\n",
       "\t  0.07050839  &  0.1106827   & -0.7288912   &  0.87813349  &  2.16895597  &  1.36860228  & -1.01857538  & -0.7092008   &  0.644376549 & -0.6279061  \\\\\n",
       "\t  0.12928774  & -0.5558411   & -0.6250393   &  0.82158108  &  1.20796200  & -0.22577099  & -1.07179123  & -0.6880086   & -0.220486562 &  1.3606524  \\\\\n",
       "\t  1.71506499  &  1.7869131   & -1.6866933   &  0.68864025  & -1.12310858  &  1.51647060  &  0.30352864  &  1.0255714   &  0.331781964 & -0.6002596  \\\\\n",
       "\t  0.46091621  &  0.4978505   &  0.8377870   &  0.55391765  & -0.40288484  & -1.54875280  &  0.44820978  & -0.2847730   &  1.096839013 &  2.1873330  \\\\\n",
       "\t -1.26506123  & -1.9666172   &  0.1533731   & -0.06191171  & -0.46665535  &  0.58461375  &  0.05300423  & -1.2207177   &  0.435181491 &  1.5326106  \\\\\n",
       "\t -0.68685285  &  0.7013559   & -1.1381369   & -0.30596266  &  0.77996512  &  0.12385424  &  0.92226747  &  0.1813035   & -0.325931586 & -0.2357004  \\\\\n",
       "\t -0.44566197  & -0.4727914   &  1.2538149   & -0.38047100  & -0.08336907  &  0.21594157  &  2.05008469  & -0.1388914   &  1.148807618 & -1.0264209  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | \n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| -0.56047565  |  1.2240818   | -1.0678237   |  0.42646422  | -0.69470698  |  0.25331851  |  0.37963948  | -0.4910312   |  0.005764186 |  0.9935039   | \n",
       "| -0.23017749  |  0.3598138   | -0.2179749   | -0.29507148  | -0.20791728  | -0.02854676  | -0.50232345  | -2.3091689   |  0.385280401 |  0.5483970   | \n",
       "|  1.55870831  |  0.4007715   | -1.0260044   |  0.89512566  | -1.26539635  | -0.04287046  | -0.33320738  |  1.0057385   | -0.370660032 |  0.2387317   | \n",
       "|  0.07050839  |  0.1106827   | -0.7288912   |  0.87813349  |  2.16895597  |  1.36860228  | -1.01857538  | -0.7092008   |  0.644376549 | -0.6279061   | \n",
       "|  0.12928774  | -0.5558411   | -0.6250393   |  0.82158108  |  1.20796200  | -0.22577099  | -1.07179123  | -0.6880086   | -0.220486562 |  1.3606524   | \n",
       "|  1.71506499  |  1.7869131   | -1.6866933   |  0.68864025  | -1.12310858  |  1.51647060  |  0.30352864  |  1.0255714   |  0.331781964 | -0.6002596   | \n",
       "|  0.46091621  |  0.4978505   |  0.8377870   |  0.55391765  | -0.40288484  | -1.54875280  |  0.44820978  | -0.2847730   |  1.096839013 |  2.1873330   | \n",
       "| -1.26506123  | -1.9666172   |  0.1533731   | -0.06191171  | -0.46665535  |  0.58461375  |  0.05300423  | -1.2207177   |  0.435181491 |  1.5326106   | \n",
       "| -0.68685285  |  0.7013559   | -1.1381369   | -0.30596266  |  0.77996512  |  0.12385424  |  0.92226747  |  0.1813035   | -0.325931586 | -0.2357004   | \n",
       "| -0.44566197  | -0.4727914   |  1.2538149   | -0.38047100  | -0.08336907  |  0.21594157  |  2.05008469  | -0.1388914   |  1.148807618 | -1.0264209   | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   1           2          3          4           5           6          \n",
       "1  -0.56047565  1.2240818 -1.0678237  0.42646422 -0.69470698  0.25331851\n",
       "2  -0.23017749  0.3598138 -0.2179749 -0.29507148 -0.20791728 -0.02854676\n",
       "3   1.55870831  0.4007715 -1.0260044  0.89512566 -1.26539635 -0.04287046\n",
       "4   0.07050839  0.1106827 -0.7288912  0.87813349  2.16895597  1.36860228\n",
       "5   0.12928774 -0.5558411 -0.6250393  0.82158108  1.20796200 -0.22577099\n",
       "6   1.71506499  1.7869131 -1.6866933  0.68864025 -1.12310858  1.51647060\n",
       "7   0.46091621  0.4978505  0.8377870  0.55391765 -0.40288484 -1.54875280\n",
       "8  -1.26506123 -1.9666172  0.1533731 -0.06191171 -0.46665535  0.58461375\n",
       "9  -0.68685285  0.7013559 -1.1381369 -0.30596266  0.77996512  0.12385424\n",
       "10 -0.44566197 -0.4727914  1.2538149 -0.38047100 -0.08336907  0.21594157\n",
       "   7           8          9            10        \n",
       "1   0.37963948 -0.4910312  0.005764186  0.9935039\n",
       "2  -0.50232345 -2.3091689  0.385280401  0.5483970\n",
       "3  -0.33320738  1.0057385 -0.370660032  0.2387317\n",
       "4  -1.01857538 -0.7092008  0.644376549 -0.6279061\n",
       "5  -1.07179123 -0.6880086 -0.220486562  1.3606524\n",
       "6   0.30352864  1.0255714  0.331781964 -0.6002596\n",
       "7   0.44820978 -0.2847730  1.096839013  2.1873330\n",
       "8   0.05300423 -1.2207177  0.435181491  1.5326106\n",
       "9   0.92226747  0.1813035 -0.325931586 -0.2357004\n",
       "10  2.05008469 -0.1388914  1.148807618 -1.0264209"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "set.seed(123)\n",
    "new_matrix <- matrix(rnorm(100), nrow = 10, ncol = 10)\n",
    "new_df <- data.frame(new_matrix)\n",
    "names(new_df) <- b1:10\n",
    "new_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter Plot to understand Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3B0dBQSEqqoqKBSXr16hRDy9PTs+8JA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\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3QN3AEgTl18JuMrTw9m8sB8HBCIfgcJ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\nCCHESFBgRwghhBBiJP4P6b1d/L3eY18AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(iris[,1:4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Sepal.Length</th><td> 1.0000000</td><td>-0.1175698</td><td> 0.8717538</td><td> 0.8179411</td></tr>\n",
       "\t<tr><th scope=row>Sepal.Width</th><td>-0.1175698</td><td> 1.0000000</td><td>-0.4284401</td><td>-0.3661259</td></tr>\n",
       "\t<tr><th scope=row>Petal.Length</th><td> 0.8717538</td><td>-0.4284401</td><td> 1.0000000</td><td> 0.9628654</td></tr>\n",
       "\t<tr><th scope=row>Petal.Width</th><td> 0.8179411</td><td>-0.3661259</td><td> 0.9628654</td><td> 1.0000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llll}\n",
       "  & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width\\\\\n",
       "\\hline\n",
       "\tSepal.Length &  1.0000000 & -0.1175698 &  0.8717538 &  0.8179411\\\\\n",
       "\tSepal.Width & -0.1175698 &  1.0000000 & -0.4284401 & -0.3661259\\\\\n",
       "\tPetal.Length &  0.8717538 & -0.4284401 &  1.0000000 &  0.9628654\\\\\n",
       "\tPetal.Width &  0.8179411 & -0.3661259 &  0.9628654 &  1.0000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | \n",
       "|---|---|---|---|\n",
       "| Sepal.Length |  1.0000000 | -0.1175698 |  0.8717538 |  0.8179411 | \n",
       "| Sepal.Width | -0.1175698 |  1.0000000 | -0.4284401 | -0.3661259 | \n",
       "| Petal.Length |  0.8717538 | -0.4284401 |  1.0000000 |  0.9628654 | \n",
       "| Petal.Width |  0.8179411 | -0.3661259 |  0.9628654 |  1.0000000 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "             Sepal.Length Sepal.Width Petal.Length Petal.Width\n",
       "Sepal.Length  1.0000000   -0.1175698   0.8717538    0.8179411 \n",
       "Sepal.Width  -0.1175698    1.0000000  -0.4284401   -0.3661259 \n",
       "Petal.Length  0.8717538   -0.4284401   1.0000000    0.9628654 \n",
       "Petal.Width   0.8179411   -0.3661259   0.9628654    1.0000000 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cor(iris[,1:4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dimension of a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>150</li>\n",
       "\t<li>5</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 150\n",
       "\\item 5\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 150\n",
       "2. 5\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 150   5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(iris)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transposing a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Sepal.Length</th><td>5.1      </td><td>4.9      </td><td>4.7      </td><td>4.6      </td><td>5.0      </td><td>5.4      </td><td>4.6      </td><td>5.0      </td><td>4.4      </td><td>4.9      </td><td>...      </td><td>6.7      </td><td>6.9      </td><td>5.8      </td><td>6.8      </td><td>6.7      </td><td>6.7      </td><td>6.3      </td><td>6.5      </td><td>6.2      </td><td>5.9      </td></tr>\n",
       "\t<tr><th scope=row>Sepal.Width</th><td>3.5      </td><td>3.0      </td><td>3.2      </td><td>3.1      </td><td>3.6      </td><td>3.9      </td><td>3.4      </td><td>3.4      </td><td>2.9      </td><td>3.1      </td><td>...      </td><td>3.1      </td><td>3.1      </td><td>2.7      </td><td>3.2      </td><td>3.3      </td><td>3.0      </td><td>2.5      </td><td>3.0      </td><td>3.4      </td><td>3.0      </td></tr>\n",
       "\t<tr><th scope=row>Petal.Length</th><td>1.4      </td><td>1.4      </td><td>1.3      </td><td>1.5      </td><td>1.4      </td><td>1.7      </td><td>1.4      </td><td>1.5      </td><td>1.4      </td><td>1.5      </td><td>...      </td><td>5.6      </td><td>5.1      </td><td>5.1      </td><td>5.9      </td><td>5.7      </td><td>5.2      </td><td>5.0      </td><td>5.2      </td><td>5.4      </td><td>5.1      </td></tr>\n",
       "\t<tr><th scope=row>Petal.Width</th><td>0.2      </td><td>0.2      </td><td>0.2      </td><td>0.2      </td><td>0.2      </td><td>0.4      </td><td>0.3      </td><td>0.2      </td><td>0.2      </td><td>0.1      </td><td>...      </td><td>2.4      </td><td>2.3      </td><td>1.9      </td><td>2.3      </td><td>2.5      </td><td>2.3      </td><td>1.9      </td><td>2.0      </td><td>2.3      </td><td>1.8      </td></tr>\n",
       "\t<tr><th scope=row>Species</th><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>setosa   </td><td>...      </td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td><td>virginica</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       "\tSepal.Length & 5.1       & 4.9       & 4.7       & 4.6       & 5.0       & 5.4       & 4.6       & 5.0       & 4.4       & 4.9       & ...       & 6.7       & 6.9       & 5.8       & 6.8       & 6.7       & 6.7       & 6.3       & 6.5       & 6.2       & 5.9      \\\\\n",
       "\tSepal.Width & 3.5       & 3.0       & 3.2       & 3.1       & 3.6       & 3.9       & 3.4       & 3.4       & 2.9       & 3.1       & ...       & 3.1       & 3.1       & 2.7       & 3.2       & 3.3       & 3.0       & 2.5       & 3.0       & 3.4       & 3.0      \\\\\n",
       "\tPetal.Length & 1.4       & 1.4       & 1.3       & 1.5       & 1.4       & 1.7       & 1.4       & 1.5       & 1.4       & 1.5       & ...       & 5.6       & 5.1       & 5.1       & 5.9       & 5.7       & 5.2       & 5.0       & 5.2       & 5.4       & 5.1      \\\\\n",
       "\tPetal.Width & 0.2       & 0.2       & 0.2       & 0.2       & 0.2       & 0.4       & 0.3       & 0.2       & 0.2       & 0.1       & ...       & 2.4       & 2.3       & 1.9       & 2.3       & 2.5       & 2.3       & 1.9       & 2.0       & 2.3       & 1.8      \\\\\n",
       "\tSpecies & setosa    & setosa    & setosa    & setosa    & setosa    & setosa    & setosa    & setosa    & setosa    & setosa    & ...       & virginica & virginica & virginica & virginica & virginica & virginica & virginica & virginica & virginica & virginica\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| Sepal.Length | 5.1       | 4.9       | 4.7       | 4.6       | 5.0       | 5.4       | 4.6       | 5.0       | 4.4       | 4.9       | ...       | 6.7       | 6.9       | 5.8       | 6.8       | 6.7       | 6.7       | 6.3       | 6.5       | 6.2       | 5.9       | \n",
       "| Sepal.Width | 3.5       | 3.0       | 3.2       | 3.1       | 3.6       | 3.9       | 3.4       | 3.4       | 2.9       | 3.1       | ...       | 3.1       | 3.1       | 2.7       | 3.2       | 3.3       | 3.0       | 2.5       | 3.0       | 3.4       | 3.0       | \n",
       "| Petal.Length | 1.4       | 1.4       | 1.3       | 1.5       | 1.4       | 1.7       | 1.4       | 1.5       | 1.4       | 1.5       | ...       | 5.6       | 5.1       | 5.1       | 5.9       | 5.7       | 5.2       | 5.0       | 5.2       | 5.4       | 5.1       | \n",
       "| Petal.Width | 0.2       | 0.2       | 0.2       | 0.2       | 0.2       | 0.4       | 0.3       | 0.2       | 0.2       | 0.1       | ...       | 2.4       | 2.3       | 1.9       | 2.3       | 2.5       | 2.3       | 1.9       | 2.0       | 2.3       | 1.8       | \n",
       "| Species | setosa    | setosa    | setosa    | setosa    | setosa    | setosa    | setosa    | setosa    | setosa    | setosa    | ...       | virginica | virginica | virginica | virginica | virginica | virginica | virginica | virginica | virginica | virginica | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "             [,1]   [,2]   [,3]   [,4]   [,5]   [,6]   [,7]   [,8]   [,9]  \n",
       "Sepal.Length 5.1    4.9    4.7    4.6    5.0    5.4    4.6    5.0    4.4   \n",
       "Sepal.Width  3.5    3.0    3.2    3.1    3.6    3.9    3.4    3.4    2.9   \n",
       "Petal.Length 1.4    1.4    1.3    1.5    1.4    1.7    1.4    1.5    1.4   \n",
       "Petal.Width  0.2    0.2    0.2    0.2    0.2    0.4    0.3    0.2    0.2   \n",
       "Species      setosa setosa setosa setosa setosa setosa setosa setosa setosa\n",
       "             [,10]  [,11] [,12]     [,13]     [,14]     [,15]     [,16]    \n",
       "Sepal.Length 4.9    ...   6.7       6.9       5.8       6.8       6.7      \n",
       "Sepal.Width  3.1    ...   3.1       3.1       2.7       3.2       3.3      \n",
       "Petal.Length 1.5    ...   5.6       5.1       5.1       5.9       5.7      \n",
       "Petal.Width  0.1    ...   2.4       2.3       1.9       2.3       2.5      \n",
       "Species      setosa ...   virginica virginica virginica virginica virginica\n",
       "             [,17]     [,18]     [,19]     [,20]     [,21]    \n",
       "Sepal.Length 6.7       6.3       6.5       6.2       5.9      \n",
       "Sepal.Width  3.0       2.5       3.0       3.4       3.0      \n",
       "Petal.Length 5.2       5.0       5.2       5.4       5.1      \n",
       "Petal.Width  2.3       1.9       2.0       2.3       1.8      \n",
       "Species      virginica virginica virginica virginica virginica"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t(iris)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Group Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "    setosa versicolor  virginica \n",
       "        50         50         50 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table(iris$Species)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouped Airthmetic Operation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Species</th><th scope=col>Sepal.Width</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>setosa    </td><td>3.428     </td></tr>\n",
       "\t<tr><td>versicolor</td><td>2.770     </td></tr>\n",
       "\t<tr><td>virginica </td><td>2.974     </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " Species & Sepal.Width\\\\\n",
       "\\hline\n",
       "\t setosa     & 3.428     \\\\\n",
       "\t versicolor & 2.770     \\\\\n",
       "\t virginica  & 2.974     \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Species | Sepal.Width | \n",
       "|---|---|---|\n",
       "| setosa     | 3.428      | \n",
       "| versicolor | 2.770      | \n",
       "| virginica  | 2.974      | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Species    Sepal.Width\n",
       "1 setosa     3.428      \n",
       "2 versicolor 2.770      \n",
       "3 virginica  2.974      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Species</th><th scope=col>Sepal.Width</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>setosa    </td><td>4.4       </td></tr>\n",
       "\t<tr><td>versicolor</td><td>3.4       </td></tr>\n",
       "\t<tr><td>virginica </td><td>3.8       </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " Species & Sepal.Width\\\\\n",
       "\\hline\n",
       "\t setosa     & 4.4       \\\\\n",
       "\t versicolor & 3.4       \\\\\n",
       "\t virginica  & 3.8       \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Species | Sepal.Width | \n",
       "|---|---|---|\n",
       "| setosa     | 4.4        | \n",
       "| versicolor | 3.4        | \n",
       "| virginica  | 3.8        | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Species    Sepal.Width\n",
       "1 setosa     4.4        \n",
       "2 versicolor 3.4        \n",
       "3 virginica  3.8        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregate(Sepal.Width ~ Species, iris,FUN=mean) \n",
    "aggregate(Sepal.Width ~ Species, iris,FUN=max)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### New Function Creationg (String Concatenation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span style=white-space:pre-wrap>'My name is  Optimus Prime'</span>"
      ],
      "text/latex": [
       "'My name is  Optimus Prime'"
      ],
      "text/markdown": [
       "<span style=white-space:pre-wrap>'My name is  Optimus Prime'</span>"
      ],
      "text/plain": [
       "[1] \"My name is  Optimus Prime\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_name_is <- function(name) {paste('My name is ',name)} #declaration\n",
    "my_name_is('Optimus Prime') #Function Call"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Current Time and Date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<time datetime=\"2017-12-12\">2017-12-12</time>"
      ],
      "text/latex": [
       "2017-12-12"
      ],
      "text/markdown": [
       "2017-12-12"
      ],
      "text/plain": [
       "[1] \"2017-12-12\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[1] \"2017-12-12 20:17:28 IST\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Sys.Date()\n",
    "Sys.time()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boolean to Integer Typecasting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>1</li>\n",
       "\t<li>0</li>\n",
       "\t<li>1</li>\n",
       "\t<li>1</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 1\n",
       "\\item 0\n",
       "\\item 1\n",
       "\\item 1\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 1\n",
       "2. 0\n",
       "3. 1\n",
       "4. 1\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 1 0 1 1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bool_vector <- c(T,F,T,T)\n",
    "+bool_vector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Counting Number of Characters in a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "58"
      ],
      "text/latex": [
       "58"
      ],
      "text/markdown": [
       "58"
      ],
      "text/plain": [
       "[1] 58"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'This is a sample sentence whose length I am trying to find'\n",
    "nchar(sentence)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Counting Number of Words in a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "12"
      ],
      "text/latex": [
       "12"
      ],
      "text/markdown": [
       "12"
      ],
      "text/plain": [
       "[1] 12"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'This is a sample sentence whose length I am trying to find'\n",
    "length(unlist(strsplit(sentence,' ')))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Length of each word in a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>words</th><th scope=col>length</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>This    </td><td>4       </td></tr>\n",
       "\t<tr><td>is      </td><td>2       </td></tr>\n",
       "\t<tr><td>a       </td><td>1       </td></tr>\n",
       "\t<tr><td>sample  </td><td>6       </td></tr>\n",
       "\t<tr><td>sentence</td><td>8       </td></tr>\n",
       "\t<tr><td>whose   </td><td>5       </td></tr>\n",
       "\t<tr><td>length  </td><td>6       </td></tr>\n",
       "\t<tr><td>I       </td><td>1       </td></tr>\n",
       "\t<tr><td>am      </td><td>2       </td></tr>\n",
       "\t<tr><td>trying  </td><td>6       </td></tr>\n",
       "\t<tr><td>to      </td><td>2       </td></tr>\n",
       "\t<tr><td>find    </td><td>4       </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " words & length\\\\\n",
       "\\hline\n",
       "\t This     & 4       \\\\\n",
       "\t is       & 2       \\\\\n",
       "\t a        & 1       \\\\\n",
       "\t sample   & 6       \\\\\n",
       "\t sentence & 8       \\\\\n",
       "\t whose    & 5       \\\\\n",
       "\t length   & 6       \\\\\n",
       "\t I        & 1       \\\\\n",
       "\t am       & 2       \\\\\n",
       "\t trying   & 6       \\\\\n",
       "\t to       & 2       \\\\\n",
       "\t find     & 4       \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "words | length | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| This     | 4        | \n",
       "| is       | 2        | \n",
       "| a        | 1        | \n",
       "| sample   | 6        | \n",
       "| sentence | 8        | \n",
       "| whose    | 5        | \n",
       "| length   | 6        | \n",
       "| I        | 1        | \n",
       "| am       | 2        | \n",
       "| trying   | 6        | \n",
       "| to       | 2        | \n",
       "| find     | 4        | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   words    length\n",
       "1  This     4     \n",
       "2  is       2     \n",
       "3  a        1     \n",
       "4  sample   6     \n",
       "5  sentence 8     \n",
       "6  whose    5     \n",
       "7  length   6     \n",
       "8  I        1     \n",
       "9  am       2     \n",
       "10 trying   6     \n",
       "11 to       2     \n",
       "12 find     4     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'This is a sample sentence whose length I am trying to find'\n",
    "data.frame(words = unlist(strsplit(sentence,' ')), length = nchar(unlist(strsplit(sentence,' '))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting Words starting with 's' in a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'sample'</li>\n",
       "\t<li>'sentence'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'sample'\n",
       "\\item 'sentence'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'sample'\n",
       "2. 'sentence'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"sample\"   \"sentence\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'This is a sample sentence whose length I am trying to find'\n",
    "unlist(lapply(unlist(strsplit(sentence, ' ')),function(x){if(startsWith(x,'s')){x}}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### String to Lower Case and to Upper Case"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "'this is a sample sentence whose length i am trying to find'"
      ],
      "text/latex": [
       "'this is a sample sentence whose length i am trying to find'"
      ],
      "text/markdown": [
       "'this is a sample sentence whose length i am trying to find'"
      ],
      "text/plain": [
       "[1] \"this is a sample sentence whose length i am trying to find\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'THIS IS A SAMPLE SENTENCE WHOSE LENGTH I AM TRYING TO FIND'"
      ],
      "text/latex": [
       "'THIS IS A SAMPLE SENTENCE WHOSE LENGTH I AM TRYING TO FIND'"
      ],
      "text/markdown": [
       "'THIS IS A SAMPLE SENTENCE WHOSE LENGTH I AM TRYING TO FIND'"
      ],
      "text/plain": [
       "[1] \"THIS IS A SAMPLE SENTENCE WHOSE LENGTH I AM TRYING TO FIND\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'This is a sample sentence whose length I am trying to find'\n",
    "casefold(sentence,F)\n",
    "casefold(sentence,T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### String Find and Replace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "'I smart and I know a smart person'"
      ],
      "text/latex": [
       "'I smart and I know a smart person'"
      ],
      "text/markdown": [
       "'I smart and I know a smart person'"
      ],
      "text/plain": [
       "[1] \"I smart and I know a smart person\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentence <- 'I good and I know a good person'\n",
    "gsub('good','smart',sentence)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.4.0"
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