I understand that magrittr::inset() should be able to assign a vector to a new column in a dataframe (as a sort of opposite of extract()). But I don't understand how the syntax should work.
Say I've got, as a toy example:
df = data.frame( id = 1:26, letter = letters)
newvalue = rnorm(26)
I'd like to add newvalue as a new column to df within a magrittr chain. I'm assuming it's something like:
df %>%
inset('new_column_name', newvalue)
But that doesn't work, presumably because I don't quite understand what the syntax for [<- (for which inset() is an alias) should look like.
Outside of a magrittr chain, I could do:
df['new_column_name'] <- newvalue
But my question is how to do it within a chain, where I've already done various and asundry operations.
Taking your example vs my quick comment:
library(magrittr)
df <- data.frame( id = 1:26, letter = letters)
newvalue <- rnorm(26)
Here's all you need to do:
df %>% inset("newvalue", value=newvalue)
## id letter newvalue
## 1 1 a -0.44805172
## 2 2 b -0.36284495
## 3 3 c 1.56175094
## 4 4 d 1.48775535
## 5 5 e -0.29086149
## 6 6 f 0.46456966
## 7 7 g 0.01130394
## 8 8 h 0.57100808
## 9 9 i -0.87445603
## 10 10 j 0.81932107
...
But, you can skip magrittr's inset() altogether since this works:
`[<-`(df, "newvalue", value=newvalue)
## id letter newvalue
## 1 1 a -0.44805172
## 2 2 b -0.36284495
## 3 3 c 1.56175094
## 4 4 d 1.48775535
## 5 5 e -0.29086149
## 6 6 f 0.46456966
## 7 7 g 0.01130394
## 8 8 h 0.57100808
## 9 9 i -0.87445603
...
So does:
df %>% `[<-`("newvalue", value=newvalue)