I used following code to reconstruct my original dataframe (for the 1st dataset in a list) from output of lapply function (S.list) which gave me a single number for each of the datalist.
data1$S <- S.list[1]
S.list was extracted from lapply funciton with which I applied a function to a list of 6 datasets and got a single number for each dataset in a list. Then I wanted to reconstruct the original dataframe for all 6 datasets in the list. this is the example I reconstructed for the 1st dataset of the list and I saved the result in S column. But S column returns into something like this
S
c(`Julia` = 0.245133133918501)
c(`Julia` = 0.245133133918501)
c(`Julia` = 0.245133133918501)
c(`Julia` = 0.245133133918501)
...
So how can I delete others except from number (0.245133). I need only the number.
This is one way to do it
data1=read.table(text="
S
'c(`Julia` = 0.245133133918501)'
'c(`Julia` = 0.245133133918501)'
'c(`Julia` = 0.245133133918501)'
'c(`Julia` = 0.245133133918501)'
", header=T, stringsAsFactors=F)
data1$S = as.numeric(sub("(.+= )([0-9\\.]+)(.+)", "\\2", data1$S, perl = T))
data1$S
# [1] 0.2451331 0.2451331 0.2451331 0.2451331
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