eda-R[1] - R Help Exploratory Data Analysis Fall 2003 This...

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R Help Exploratory Data Analysis Fall 2003 This document describes how to use a number of R commands for plotting one variable and for calcu- lating one variable summary statistics. Specifically, it describes how to use R to create dotplots , histograms , stemplots , and boxplots , and to compute the mean , median , five-number summary , standard deviation , and variance of a variable. Let’s begin with the same glucose data set from last time. > glucose = c(81, 85, 93, 93, 99, 76, 75, 84, 78, 84, 81, 82, 89, + 81, 96, 82, 74, 70, 84, 86, 80, 70, 131, 75, 88, 102, 115, + 89, 82, 79, 106) Dotplots. R does not have a built-in dotplot function. I have written a function in R code that works. The code is on the R Help Web page. Save this file to your computer and put it in your working directory. You can source this code using the File menu, selecting Source R code. .. , and following the directions. Alternatively, if the file dotplot.R is in your working directory this command will source the code and then create the dotplot. > source("dotplot.R") > dotplot(glucose) 70 80 90 100 110 120 130 ●● ● ●●●● ●● ●● Histograms. The hist function produces histograms. > hist(glucose) Bret Larget September 15, 2003
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Exploratory Data Analysis Fall 2003 Histogram of glucose glucose Frequency 70 80 90 100 110 120 130 140 0 4 8 12 By default, there were seven classes, each of width ten, ranging from 70 to 140. If we wanted to specify a diFerent number of classes, say 14, we could have typed this. > hist(glucose, breaks = 14) Histogram of glucose glucose 70 80 90 100 110 120 130 2 6 the bars red (color 2), we could have done this. > hist(glucose, breaks = seq(60, 140, by = 8), col = 2) Bret Larget September 15, 2003
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This note was uploaded on 09/15/2011 for the course MATH 324 taught by Professor Staff during the Spring '08 term at S.F. State.

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eda-R[1] - R Help Exploratory Data Analysis Fall 2003 This...

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