I have filtered data and one of the columns has 5 factor levels and I want to get sum for each of the factor level.
I am using the below code
levels(df_Temp$ATYPE)
[1] "a" "b" "c" "d" "Unknown"
I am using the below code
cast(df_Temp,ATYPE~AFTER_ADM, sum, value = "CHRGES")
but the output I am getting is as below
ATYPE 0 1
1 a 0 2368968.39
2 b 0 3206567.47
3 c 0 19551.19
4 e 0 2528688.12
I want to all the factor levels and sum as "0" for those missing data of factors level.
So the desired output is
ATYPE 0 1
1 a 0 2368968.39
2 b 0 3206567.47
3 c 0 19551.19
4 d 0 0
5 e 0 2528688.12
Using xtabs from base R
xtabs(CHRGES ~ ATYPE + AFTER_ADM, subset(df_Temp, ATYPE != "e"))
# AFTER_ADM
#ATYPE 0 1
# a 0.00000000 -5.92270971
# b -1.68910431 0.05222349
# c -0.26869311 0.16922669
# d 1.44764443 -1.59011411
# e 0.00000000 0.00000000
set.seed(24)
df_Temp <- data.frame(ATYPE = sample(letters[1:5], 20, replace = TRUE),
AFTER_ADM = sample(0:1, 20, replace = TRUE), CHRGES = rnorm(20))
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