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2006 Aug 17
2
getting sapply to skip columns with non-numeric data?
...lumns with non-numeric data?
I have a dataframe ?x? of w columns.
Some columns are numeric, some are not.
I wish to create a function to calculate the mean and
standard deviation of each numeric column, and then
?bind? the column mean and standard deviation to the
bottom of the dataframe.
e.g.
tempmean <- apply(data.frame(x), 2, mean, na.rm = T)
xnew <- rbind(x,tempmean)
I am running into one small problem
what is the best
way to have sapply ?skip? the non-numeric data and
return NA?s?
2011 Oct 20
1
stop R from rounding
...','Lat.N','Long.W','Press','Depth','Temp','Sal','Oxy')
date <- subset(x,select=c(Dec.Year), (Depth<201) & (Depth>199))
datelist <- list(date$Dec.Year)
temp <- subset(x,select=c(Temp), (Depth<201) & (Depth>199))
tempmean <- aggregate(temp,by=datelist,FUN=mean)
tempframe <- data.frame(tempmean) #the first column of this dataframe is the
one that I don't want R to round
Thank you!
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