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I have an csv file full of time differences, some positive and some negative. I need to be able to work with each of these almost 300 variables in R (see image for an excerpt). I've tried various things but so far was unable to convert them to time values in R.

Times

wibeasley
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R. Isabel
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  • Which things have you tried? You should explain them in the question – Javier Lopez Tomas Jan 07 '20 at 15:56
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    Welcome to Stack Overflow. Read and include features from [How to make a great R reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example), especially the part about reproducing and pasting your data. The dataset is not available for us to demonstrate with; think of using a smaller example that can be included in your question. – wibeasley Jan 07 '20 at 16:09

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As I understand your question, you could use ifelse() to create a covariate for negative vs positive values

Assuming your data set is named d

d$neg_vs_pos <- iselse(d$values<0,0,1)

Now, d$neg_vs_pos==0 for all negative values and d$neg_vs_pos==1 all positive values.

So, you can use a subset

neg_val <- subset(d,d$neg_vs_pos==0)
pos_val <- subset(d,d$neg_vs_pos==1)

However, not entirely sure what you'are asking.

Did this solve the problem?

cmirian
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