CODEWITHSUNDEEP
rcountplyrsummarize
Ellie
Ellie

Reputation: 415

plyr summarize count error row length

suppose I have the following data:

A <- c(4,4,4,4,4)
B <- c(1,2,3,4,4)
C <- c(1,2,4,4,4)
D <- c(3,2,4,1,4)

filt <- c(1,1,10,8,10)


data <- as.data.frame(rbind(A,B,C,D,filt))
data <- t(data)
data <- as.data.frame(data)

> data
    A B C d filt
 V1 4 1 1 3    1
 V2 4 2 2 2    1
 V3 4 3 4 4   10
 V4 4 4 4 1    8
 V5 4 4 4 4   10

I want to get counts on the occurances of 1,2,3, & 4 for each variable, after filtering. In my attempt to achieve this below, I get Error: length(rows) == 1 is not TRUE. 

  data %>%
     dplyr::filter(filt ==1) %>%
      plyr::summarize(A_count = count(A),
                      B_count = count(B))

I get the error - its because some of my columns do not contain all values 1-4. Is there a way to specify what it should look for & give 0 values if not found? I'm not sure how to do this if possible, or if there is a different work around.

Any help is VERY appreciated!!!

Upvotes: 2

Views: 153

Answers (1)

zack
zack

Reputation: 5415

This was a bit of a weird one, I didn't use classical plyr, but I think this is roughly what you're looking for. I removed the filtering column , filt as to not get counts of that:

library(dplyr)

data %>% 
  filter(filt == 1) %>% 
  select(-filt) %>%
  purrr::map_df(function(a_column){
    purrr::map_int(1:4, function(num) sum(a_column == num))
    })

# A tibble: 4 x 4
      A     B     C     D
  <int> <int> <int> <int>
1     0     1     1     0
2     0     1     1     1
3     0     0     0     1
4     2     0     0     0

Upvotes: 2

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