Hello,
I have recently received a dataset from a metal analysis company. The
dataset is filled with less than symbols. What I am looking for is a
efficient way to subset for any whole numbers from the dataset. The column
is automatically formatted as a factor because of the symbols making it
Hi Sam,
I'd take the similar tack of removing the instead. Note that if you
import the data frame using the stringsAsFactors=FALSE argument, you
don't need the first step.
metals$Cedar.Creek - as.character(metals$Cedar.Creek)
metals$Cedar.Creek - gsub(, , metals$Cedar.Creek)
metals$Cedar.Creek
On Jul 9, 2014, at 12:19 PM, Sam Albers tonightstheni...@gmail.com wrote:
Hello,
I have recently received a dataset from a metal analysis company. The
dataset is filled with less than symbols. What I am looking for is a
efficient way to subset for any whole numbers from the dataset. The
Well, ?grep and ?regex are clearly apropos here -- dealing with
character data is an essential skill for handling input from diverse
sources with various formatting conventions. I suggest you go through
one of the many regular expression tutorials on the web to learn more.
But this may not be the
Thanks for all the responses. It sometimes difficult to outline
exactly what you need. These response were helpful to get there.
Speaking to Bert's point a bit, I needed a column to identify where
the symbol was used. If I knew more about R I think I might be
embarrassed to post my solution to
Hi Sam,
But this may not be the important issue here at all. If k means the
value is left censored at k -- i.e. we know it's less than k but not
how much less -- than Sarah's proposal is not what you want to do.
Exactly what you do want to do depends on context, and as it concerns
After reading the metals data frame, I would do this:
metals$result - as.numeric(gsub('','',metals$Cedar.Creek))
metals$flag - ifelse(grepl('',metals$Cedar.Creek),'','h')
Also, assuming you got your data into R using read.table(),
read.csv(), or similar, I would include
stringsAsFactors=TRUE
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