Transform table into dataframe R-CodePudding

Say we have the following data:

user <- c(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3)
type <- c('new', 'recent', 'recent', 'old', 'recent', 'new', 'new', 'old', 'new', 'new', 'new', 'recent')
df <- data.frame(user, type)

If we compute the table, we get the following:

table(df$type) 
>   new    old recent 
     6      2      4

I am looking for a function that takes in this table data and transforms it into a dataframe, regardless of the number of columns. Ideally, the dataframe would look like this:

type     count 
new        6
old        2
recent     4

CodePudding user response：

This does the job:

df2 <- as.data.frame(table(df$type))
> df2
    Var1 Freq
1    new    6
2    old    2
3 recent    4

You can rename Var1 and Freq if you want:

colnames(df2) <- c("type", "count")
> df2
    type count
1    new     6
2    old     2
3 recent     4

CodePudding user response：

Here are some options

> stack(table(df$type))
  values    ind
1      6    new
2      2    old
3      4 recent

> as.data.frame(table(df$type))
    Var1 Freq
1    new    6
2    old    2
3 recent    4