Comments in line
On 16/12/2014 11:25, Aditya Singh via R-help wrote:
Dear R-experts,
I am relatively new to R. Please help me in converting a dataframe into a
numeric and then creating a new dataframe.
R-code attached:
my_xtrain=read.table("./train/X_train.txt")
my_xtest=read.table("./test/X_test.txt")
my_merge_data=merge(my_xtrain,my_xtest,all=TRUE)
Without knowing what is in x_train.txt and x_test.txt it is hard to be
sure but you might be able to avoid the conversion to factors (assuming
that is what happened by using stringsAsFactors = FALSE or as.is or
setting colClasses.
?read.table may help here.
### my_merge_datad is a new dataframe in which I want my_merge_data to be
numeric
my_merge_datad=as.numeric(as.character(my_merge_data),na.rm=TRUE)
Probably unnecessary to intialise here.
### my_m: I want to initialize a dataframe here
my_m=dat()
The loop is probably avoidable. Why not use apply on the columns?
mymean <- apply(my_merg_data, 2, mean)
and simlarly for the standard deviation
and then
my_m <- cbind(mymean, mysd)
Of course without the data I have not tested any of this and I may have
misunderstood the problem but there may be enough hints here to get you
started.
for (i in 1: 561) {
## here in my_m[1,i] I want to store the mean of all the columns, 1 to 561
my_m[1,i]= mean(my_merge_data[,i])
## here in my_m[2,i] that is the second row of the new dataframe my_m I want to
store the standard deviation of columns 1 to ##561
my_m[2,i]=std(my_merge_data[,i])
}
Thanking you,
Aditya
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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