On 21/09/2019 9:05 a.m., Jeff Newmiller wrote:
Your use of subset instead of select does not help,
Whoops, sorry. Thanks for doing the real check.
Duncan
but a corrected example does indeed confirm your point.
library(dplyr)
str(data.frame(a=c(1,1,2,2), b=1:4) %>% select(b,a))
## 'data.fr
Your use of subset instead of select does not help, but a corrected example
does indeed confirm your point.
library(dplyr)
str(data.frame(a=c(1,1,2,2), b=1:4) %>% select(b,a))
## 'data.frame':4 obs. of 2 variables:
## $ b: int 1 2 3 4
## $ a: num 1 1 2 2
However the `[` issue is still
On 21/09/2019 7:38 a.m., Jeff Newmiller wrote:
The dplyr::select function returns a special variety of data.frame called a tibble.
I don't think that's always true. The docs say it returns "An object of
the same class as .data.", and that's what I'm seeing:
> str(data.frame(a=c(1,1,2,2), b=
The dplyr::select function returns a special variety of data.frame called a
tibble. The tibble has certain features designed to make it behave consistently
when indexing is used. Specifically, the `[` operator always returns a tibble
regardless of how many columns are indicated by the column ind
Hello,
Something like this?
ctab <- function(data) {
gmodels::CrossTable(as.matrix(data), prop.chisq = FALSE, prop.c =
FALSE, prop.t = FALSE, format = "SPSS")
}
mtcars %>% select(cyl, gear) %>% ctab()
Hope this helps,
Rui Barradas
Às 16:30 de 20/09/19, Zachary Lim escreveu:
Hi,
I'm t
On 20/09/2019 11:30 a.m., Zachary Lim wrote:
Hi,
I'm trying to create a simple function that takes a dataframe as its only
argument. I've been using gmodels::CrossTable, but it requires a lot of
arguments, e.g.:
#this runs fine
CrossTable(data$col1, data$col2, prop.chisq = FALSE, prop.c = FAL
Hi,
I'm trying to create a simple function that takes a dataframe as its only
argument. I've been using gmodels::CrossTable, but it requires a lot of
arguments, e.g.:
#this runs fine
CrossTable(data$col1, data$col2, prop.chisq = FALSE, prop.c = FALSE, prop.t =
FALSE, format = "SPSS")
Moreover
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