I would like to tabulate by row within a data frame. I can obtain adequate results using table
within apply
in the following example:
df.1 <- read.table(text = '
state county city year1 year2 year3 year4 year5
1 2 4 0 0 0 1 2
2 5 3 10 20 10 NA 10
2 7 1 200 200 NA NA 200
3 1 1 NA NA NA NA NA
', na.strings = "NA", header=TRUE)
tdf <- t(df.1)
apply(tdf[4:nrow(tdf),1:nrow(df.1)], 2, function(x) {table(x, useNA = "ifany")})
Here are the results:
[[1]]
x
0 1 2
3 1 1
[[2]]
x
10 20 <NA>
3 1 1
[[3]]
x
200 <NA>
3 2
[[4]]
x
<NA>
5
However, in the following example each row consists of a single value.
df.2 <- read.table(text = '
state county city year1 year2 year3 year4 year5
1 2 4 0 0 0 0 0
2 5 3 1 1 1 1 1
2 7 1 2 2 2 2 2
3 1 1 NA NA NA NA NA
', na.strings = "NA", header=TRUE)
tdf.2 <- t(df.2)
apply(tdf.2[4:nrow(tdf.2),1:nrow(df.2)], 2, function(x) {table(x, useNA = "ifany")})
The output I obtain is:
# [1] 5 5 5 5
As such, I cannot tell from this output that the first 5 is for 0, the second 5 is for 1, the third 5 is for 2 and the last 5 is for NA. Is there a way I can have R return the value represented by each 5 in the second example?