The following data.frame x as one column named Percent.
x
Percent
1 10%
2 20%
3 30%
as.numeric(substr(x$Percent,1,nchar(x$Percent)-1))
[1] 10 20 30
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I think you are getting ahead of yourself.
You use the term dataset, which is colloquial and not precise. The read.csv
function returns a data.frame, in which each column can have its own storage
mode (type). Most data.frames do not have all columns of the same type... if
they were you might
It would help a lot if you posted a subset of your data using 'dput'
so that we know what it actually looks like. You have character data
mixed with numerics, so you will be NAs in some cases.
Conversion of percent to numeric is accomplished with something like this:
x - c('12%', '6%',
Hi ,
I am little confused about how to covert entire dataset to numeric .
As I read data like..
Xelements =read.csv(file. Choose(),header = T, stringsAsFactors=FALSE)
str(xelements )
str(xelements)
'data.frame': 731 obs. of 4 variables:
$ Engine.Speed : chr rpm ES rpm 1049 ...
$
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