How to make one table for gender while having different codes for one disease in R

user_19807620 0
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I have a dataset in R where one disease is coded with different code numbers.

Just, for example, let's take code as -

set.seed(1)
df <- data.frame(Gender = sample(c("Male", "Female", "Other"), 20, T),
                 Disease = sample(c("709", "908", "1515", "698", "890", "20"), 20, T))

Code numbers such as - 709, 1515, and 20 belong to only one disease named Gonorrhoea.

Now, I have to generate a table for gender and only for Gonorrhoea. I am wondering how can it be done. Any suggestions?

I will be very thankful for any kind of helpful input.

In case, the question is unclear, let me know :)

Wish you all a lovely day.

r
1 Answers

Any of the first two options will table the required subset of the data. The 3rd option transforms a table into a data.frame with the same information, only its presentation is different.

set.seed(1)
df <- data.frame(Gender = sample(c("Male", "Female", "Other"), 20, T),
                 Disease = sample(c("709", "908", "1515", "698", "890", "20"), 20, T))

table(subset(df, Disease %in% c(709, 1515, 20)))
#>         Disease
#> Gender   1515 20 709
#>   Female    1  1   1
#>   Male      0  1   2
#>   Other     0  2   1

xtabs(~ Gender + Disease, df, subset = Disease %in% c(709, 1515, 20))
#>         Disease
#> Gender   1515 20 709
#>   Female    1  1   1
#>   Male      0  1   2
#>   Other     0  2   1

tbl <- table(subset(df, Disease %in% c(709, 1515, 20)))
as.data.frame(tbl)
#>   Gender Disease Freq
#> 1 Female    1515    1
#> 2   Male    1515    0
#> 3  Other    1515    0
#> 4 Female      20    1
#> 5   Male      20    1
#> 6  Other      20    2
#> 7 Female     709    1
#> 8   Male     709    2
#> 9  Other     709    1

Created on 2022-08-21 by the reprex package (v2.0.1)

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