Question: > getwd ( ) > list.files ( ) [ 1 ] airquality.csv airquality.RData airquality.txt > raw < - read.csv ( airquality .
getwd
list.files
"airquality.csv "airquality.RData" "airquality.txt
rawread.csvairqualitycsv headerTRUE
headraw n
X Ozone Solar.R Wind Temp Month Day
NA NA
namesraw"SolarRadiation"
headraw n
X Ozone SolarRadiation Wind Temp Month Day
NA NA
mmeanraw$Ozone, narmTRUE
m
mmeanraw$Ozoneraw$Temp narmTRUE
m
mmeanraw$Ozoneraw$Temp & raw$Temp narmTRUE
m
mmeanraw$Ozoneraw$Temp & raw$Wind narmTRUE
m
mmeanraw$Ozoneraw$Temp & raw$Wind narmTRUE
m
histraw$Ozone
varraw$Ozone, narmTRUE
sdraw$Ozone, narmTRUE
rawnoNA naomitraw$Ozone
rawnoNA
attrnaaction"
attr"class"
"omit"
corraw$Ozone, raw$Wind, use 'complete.obs'
corraw$Ozone, raw$Temp, use 'complete.obs'
corraw$Ozone, raw$SolarRadiation, use 'complete.obs'
Calculate a complex mean Ozone level for each month and make a bar plot.
a Tabulate variable Month
b Use function tapply to generate mean ozone level for each month
c Generate a bar plot for monthly mean ozone levels.
d Assign the title of the bar plot as Ozone level by Month
e Label x axis as Month
f Label y axis as Mean Ozone Level
g Use rainbow color or heat colors for the bars
h Add the value of May, June, July, August, September to the x axis.
Generate an xy plot for Ozone and Solar Radiation and add trend line to the xy plot.
Section : write a R script to complete the following tasks on ANOVA and Regression
Step by Step Solution
There are 3 Steps involved in it
1 Expert Approved Answer
Step: 1 Unlock
Question Has Been Solved by an Expert!
Get step-by-step solutions from verified subject matter experts
Step: 2 Unlock
Step: 3 Unlock
