Shadan
1
I want to apply this code to a list of data in R

`dcast(df, PROVINCE ~ ETHNICITY, value.var = "WEIGHT", fun.aggregate = sum)`

# this is the output of code:

```
1 11 845.19 41.43 214.38 93.66 273.78 19.7 13656.12 48 10.43 0.00 0.00 10.12 20.40 30 19.9
2 14 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 0.00 0.00 9.89 0 0.0
3 16 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 10.11 0.00 0.00 0.00 0 0.0
4 19 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 9.57 0.00 0.00 0 0.0
5 32 29.58 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 0.00 0.00 9.78 0 0.0
6 33 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 0.00 0.00 49.39 0 0.0
7 35 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 0.00 0.00 49.63 0 0.0
8 63 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0 0.00 0.00 0.00 0.00 9.43 0 0.0
I do not know how to apply it.
```

FJCC
2
There is no code in your post, only the final output. Please edit your post to provide the initial data and your code.

1 Like

Shadan
3
This is the code:

` dcast(df, PROVINCE ~ ETHNICITY, value.var = "WEIGHT", fun.aggregate = sum)`

1 Like

Do you mean that you want to iterate over a list applying the same dcast function on each member of the list?

If so use purrr package map function.

Shadan
5
@nirgrahamuk How should I use purrr package? I don know.

Shadan
6
If you know another code , please let me know. Thanks.

Shadan
8
@nirgrahamuk Thank you for sharing it. But I do not know how to use it.

FJCC
9
Is this the sort of thing you are looking for? If not, please post a small sample of you initial data.

```
DF1 <- data.frame(PROVINCE = rep(c("A", "B", "C"), 4),
ETHNICITY = rep(c("Y", "Z"), 6),
WEIGHT = runif(12, min = 40, max = 60))
DF2 <- data.frame(PROVINCE = rep(c("A", "B", "C"), 4),
ETHNICITY = rep(c("Y", "Z"), 6),
WEIGHT = runif(12, min = 40, max = 60))
MyList <- list(DF1, DF2)
MyFunc <- function(DatFrame) {
reshape2::dcast(data = DatFrame, formula = PROVINCE ~ ETHNICITY,
value.var = "WEIGHT", fun.aggregate = sum)
}
DCAST_out <- lapply(X = MyList, FUN = MyFunc)
DCAST_out
#> [[1]]
#> PROVINCE Y Z
#> 1 A 89.98376 90.79929
#> 2 B 97.12802 90.68774
#> 3 C 100.62682 91.20288
#>
#> [[2]]
#> PROVINCE Y Z
#> 1 A 106.09127 94.19237
#> 2 B 111.30426 107.42695
#> 3 C 84.44623 102.04221
```

^{Created on 2020-12-12 by the reprex package (v0.2.1)}

1 Like

Shadan
10
@FJCC thank you very much! It is the code that I was looking.

Shadan
11
@FJCC I want to add two rows ( total and percentage) for each data table. If you know how to add, please let me know. Thank you!

FJCC
12
Is this what you mean by adding a total row?

```
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
DF1 <- data.frame(PROVINCE = rep(c("A", "B", "C"), 4),
ETHNICITY = rep(c("Y", "Z"), 6),
WEIGHT = runif(12, min = 40, max = 60))
DF2 <- data.frame(PROVINCE = rep(c("A", "B", "C"), 4),
ETHNICITY = rep(c("Y", "Z"), 6),
WEIGHT = runif(12, min = 40, max = 60))
MyList <- list(DF1, DF2)
MyFunc <- function(DatFrame) {
tmp <- reshape2::dcast(data = DatFrame, formula = PROVINCE ~ ETHNICITY,
value.var = "WEIGHT", fun.aggregate = sum)
SUMS <- tmp %>% summarize(across(.col=where(is.numeric), sum))
SummaryRow <- bind_cols(data.frame(PROVINCE="TOTAL"),SUMS)
bind_rows(tmp, SummaryRow)
}
DCAST_out <- lapply(X = MyList, FUN = MyFunc)
DCAST_out
#> [[1]]
#> PROVINCE Y Z
#> 1 A 108.14376 109.16078
#> 2 B 97.54265 114.88119
#> 3 C 91.41058 98.30363
#> 4 TOTAL 297.09699 322.34560
#>
#> [[2]]
#> PROVINCE Y Z
#> 1 A 100.91991 94.33169
#> 2 B 106.15745 114.00632
#> 3 C 98.59599 103.73327
#> 4 TOTAL 305.67335 312.07127
```

^{Created on 2020-12-13 by the reprex package (v0.3.0)}

Shadan
13
Hi @FJCC

Thank you write nice code. It just for the total. I am looking for the percentage now. Do you know to add the percentage of them?

system
Closed
14
This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.