Using R, generate the code to convert the following data frame to wide format.
> data1=read.csv(file.choose(),header=T)
> data1
grp sex meanL sdL meanR sdR
1 A F 0.22 0.11 0.34 0.08
2 A M 0.47 0.33 0.57 0.33
3 B F 0.33 0.11 0.40 0.07
4 B M 0.55 0.31 0.65 0.27
#convert data long to wide data
>
data2=reshape(data1,idvar="grp",timevar="sex",direction="wide")
> data2
grp meanL.F sdL.F meanR.F sdR.F meanL.M sdL.M meanR.M sdR.M
1 A 0.22 0.11 0.34 0.08 0.47 0.33 0.57 0.33
3 B 0.33 0.11 0.40 0.07 0.55 0.31 0.65 0.27
#find column name
> colnames(data2)
[1] "grp" "meanL.F" "sdL.F" "meanR.F" "sdR.F" "meanL.M" "sdL.M"
"meanR.M"
[9] "sdR.M"
#reorder the column for given condition
>
col_order=c(grp,"meanL.F","meanR.F","sdL.F","sdR.F","meanL.M","meanR.M","sdL.M","sdR.M")
> data3=data2[,col_order]
> data3
grp meanL.F meanR.F sdL.F sdR.F meanL.M meanR.M sdL.M sdR.M
1 A 0.22 0.34 0.11 0.08 0.47 0.57 0.33 0.33
2 B 0.33 0.40 0.11 0.07 0.55 0.65 0.31 0.27
>
#rename column name for given condition
> names(data3)[names(data3)=="meanL.F"]="F.meanL"
> names(data3)[names(data3)=="meanR.F"]="F.meanR"
> names(data3)[names(data3)=="sdL.F"]="F.sdL"
> names(data3)[names(data3)=="sdR.F"]="F.sdR"
> names(data3)[names(data3)=="meanL.M"]="M.meanL"
> names(data3)[names(data3)=="meanR.M"]="M.meanR"
> names(data3)[names(data3)=="sdL.M"]="M.sdL"
> names(data3)[names(data3)=="sdR.M"]="M.sdR"
> data3
#final result
grp F.meanL F.meanR F.sdL F.sdR M.meanL M.meanR M.sdL M.sdR
1 A 0.22 0.34 0.11 0.08 0.47 0.57 0.33 0.33
2 B 0.33 0.40 0.11 0.07 0.55 0.65 0.31 0.27
>
Using R, generate the code to convert the following data frame to wide format. 1 AF...
Generate the code to convert the following data frame to wide format. grpsexmeanL sdLmeanR SdR 1A F 0.220.110.340.08 2 A MI 0.47033 0.57033 B F 0.330.11 0.400.0 4B M 0.550.30.650.27 The result should look like the following display. grpF.meanLF.meanRF.sdLF.sdRM.meanLM.meanRM.sdLM.sdR 0.57 0.33 0.33 0.65 0.31 0.27 1A 022 0.34 0.110.08 0.47 0. (), :多 0.40 0.11 0.0 / Hint: use gather() in conjunction with spread() and unite()
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