[R] Plotting using tapply function output

[Jim Lemon]

Hi Alexandra,
This produces a rather messy plot, but it might get you started:

finalData<-data.frame(ws=sample(0:100,1300,TRUE),
 stn=rep(1:13,each=100),hour=rep(1:24,length.out=1300))
statHour = tapply(finalData$ws,list(finalData$stn,finalData$hour),sd)
# open a wide device
x11(width=13)
# leave room for an external legend
par(mar=c(5,4,4,6))
matplot(1:24,t(statHour),type="b",
 main="Wind speed standard deviation by hour of day",
 xlab="Hour",ylab="Wind speed standard deviation",lty=1)
legend(25.2,40,legend=paste("Stn",1:13,sep=""),pch=c(0:9,"a","b","c"),
 col=1:13,xpd=TRUE)

Jim


On Tue, Mar 31, 2015 at 10:07 AM, Alexandra Catena <amc5981 at gmail.com>
wrote:

> Hello,
>
> I am trying to plot the hourly standard deviation of wind speeds from
> 13 different measured locations over many years. I imported the data
> using readLines and into a dataframe called finalData. Using tapply, I
> determined the standard deviation of the windspeed (ws) for each hour
> (hour) from every location (stn) using this command line:
>
> statHour = tapply(finalData$ws,list(finalData$stn,finalData$hour),sd)
>
> I want to plot the standard deviation for each hour of the day, with
> hours as the x-axis and the standard deviation for the y-axis, and
> each station as a different color.  I've managed to get a boxplot of
> this, but ideally, I'd like a scatter plot to determine the variations
> between each instrument throughout the day.  The boxplot command is
> this:
>
> boxplot(statHour, names=colnames(statHour),xlab='Hour of the
> Day',ylab='Standard Deviation of Wind Speed')
>
> I also tried to make a dataframe of the tapply output but it ends up
> using the hours as the column names instead of putting it into the
> dataframe.  Please help!!
>
> I have R version 3.1.1
>
> Thanks a lot,
> Alexandra
>
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