I am trying to spread a column into multiple columns using dplyr spread function. Once spread, the access to the column has a single quote which I want to remove since it comes in the way of my filtering the dataframe
Following is my code
# Create Test Frame
testframe = data.frame(name = c("foo-tt.0","bar-tt.0","dd-tt.0","tt-tt.0"),age=as.numeric(c(40,38,10,8)))
#Pivot using name
testframe_pivot <- testframe %>% spread(name,age)
I need to access the frame like below
testframe_pivot$`bar-tt.0` ## I don't want these quotes
[1] 38
Why I cannot get like (EXPECTED OUTPUT)
> testframe_pivot$bar-tt.0
[1] 38
instead I get
> testframe_pivot$bar-tt.0
Error: object 'tt.0' not found
I understand they are because of the mix of alphabets and other characters but not sure how to get rid of this error
Consequence is..
>name_I_want = c("foo-tt.0")
>select_(testframe_pivot,.dot=name_I_want)
Error in .f(.x[[i]], ...) : object 'foo' not found
The problem with the names is the -
sign. Unless you get rid of it, you won't be able to use the $
operator without back ticks. There are two options with base-R:
Either you correct the names to something syntactically correct for R. make.names
works well:
names(testframe_pivot) <- make.names(names(testframe_pivot))
testframe_pivot
# bar.tt.0 dd.tt.0 foo.tt.0 tt.tt.0
#1 38 10 40 8
Or you subset with [[
and strings:
testframe_pivot[['bar-tt.0']]
#[1] 38