7

I am restructuring a dataset of species names. It has a column with latin names and column with trivial names when those are available. I would like to make a 3rd column which gives the trivial name when available, otherwise the latin name. Both trivial names and latin names are in factor-class. I have tried with an if-loop:

  if(art2$trivname==""){  
    art2$artname=trivname   
    }else{  
      art2$artname=latname  
    }  

It gives me the correct trivnames, but only gives NA when supplying latin names.
And when I use ifelse I only get numbers.

As always, all help appreciated :)

Matthew Lundberg
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ego_
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3 Answers3

8

Example:

art <- data.frame(trivname = c("cat", "", "deer"), latname = c("cattus", "canis", "cervus"))
art$artname <- with(art, ifelse(trivname == "", as.character(latname), as.character(trivname)))
print(art)
#   trivname latname artname
# 1      cat  cattus     cat
# 2            canis   canis
# 3     deer  cervus    deer

(I think options(stringsAsFactors = FALSE) as default would be easier for most people, but there you go...)

Allan Engelhardt
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2

Getting only numbers suggests that you just need to add as.character to your assignments, and the if-else would probably work you also seem to not be referring to the data frame in the assignment?

if(as.character(art2$trivname)==""){  
    art2$artname=as.character(art2$trivname)
    }else{  
      art2$artname=as.character(art2$latname)
    }  

Option 2: Using ifelse:

 art2$artname= ifelse(as.character(art2$trivname) == "", as.character(art2$latname),as.character(art2$trivname))

It is probably easier (and more "R-thonic" because it avoids the loop) just to assign artname to trivial across the board, then overwrite the blank ones with latname...

art2 = art
art2$artname = as.character(art$trivname)
changeme = which(art2$artname=="")
art2$artname[changeme] = as.character(art$latname[changeme])
beroe
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1

If art2 is the dataframe, and artname the new column, another possible solution:

art2$artname <- as.character(art2$trivname)
art2[art$artname == "",'artname'] <- as.character(art2[art2$artname == "", 'latname'])

And if you want factors in the new column:

art2$artname <- as.factor(art2$artname)
nekrum
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