How do I change a named vector to a data frame retaining the names?

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I have following data structure after executing a function:

      A       B       C        D        E       
      92.08   90.68   54.09    92.87    97.40    

      F       G       H        I        J       ...       
      24.52   67.24   15.63    22.33    45.10   ...

As a final result, I want to have the data in a simple data frame, with letters as rows and values in a column. Following worked, though I'm curious whether this is the most elegant way(?):

output <- data.frame(output)
output <- data.frame(rownames(output), rowSums(output))
colnames(output) <- c("Category", "Value")
output
output %>% arrange(desc(output))

If you have an idea to make it better, feel free to correct me. dplyr solutions appreciated.

Thanks!

dplyr reshape transformation dataframe r
1 Answers

As said by @Axeman in the comments, you have a named vector. The easiest way to transform that into a dataframe is by using the stack-function from base R.

Some example data:

output <- setNames(c(92.08,90.68,54.09,92.87,97.40), LETTERS[1:5])

which looks like:

> output
    A     B     C     D     E 
92.08 90.68 54.09 92.87 97.40

Transform into a dataframe with:

df <- stack(output)

which gives:

> df
  values ind
1  92.08   A
2  90.68   B
3  54.09   C
4  92.87   D
5  97.40   E

To get the columnnames and column order as specified in the question:

df <- setNames(stack(output)[2:1], c('Category','Value'))

which gives:

  Category Value
1        A 92.08
2        B 90.68
3        C 54.09
4        D 92.87
5        E 97.40
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