P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-08 15:21:58 +02:00
Code Releases Activity

extra unit tests, add row.names to freq

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2018-06-19 15:20:14 +02:00
parent bdc860e29c
commit 4a027f3c34
8 changed files with 77 additions and 25 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
vignettes/freq.R Executable file → Normal file
View File

@ -7,13 +7,13 @@ library(dplyr)
library(AMR)
## ---- echo = TRUE, results = 'hide'--------------------------------------
# # just using base R
# just using base R
freq(septic_patients$sex)
# # using base R to select the variable and pass it on with a pipe
# using base R to select the variable and pass it on with a pipe
septic_patients$sex %>% freq()
# # do it all with pipes, using the `select` function of the dplyr package
# do it all with pipes, using the `select` function of the dplyr package
septic_patients %>%
select(sex) %>%
freq()
@ -69,6 +69,11 @@ septic_patients %>%
select(amox) %>%
freq(na.rm = FALSE)
## ---- echo = TRUE--------------------------------------------------------
septic_patients %>%
select(hospital_id) %>%
freq(row.names = FALSE)
## ---- echo = TRUE--------------------------------------------------------
septic_patients %>%
select(hospital_id) %>%

16
vignettes/freq.Rmd
View File

@ -27,13 +27,13 @@ Frequency tables (or frequency distributions) are summaries of the distribution
To only show and quickly review the content of one variable, you can just select this variable in various ways. Let's say we want to get the frequencies of the `sex` variable of the `septic_patients` dataset:
```{r, echo = TRUE, results = 'hide'}
# # just using base R
# just using base R
freq(septic_patients$sex)
# # using base R to select the variable and pass it on with a pipe
# using base R to select the variable and pass it on with a pipe
septic_patients$sex %>% freq()
# # do it all with pipes, using the `select` function of the dplyr package
# do it all with pipes, using the `select` function of the dplyr package
septic_patients %>%
select(sex) %>%
freq()
@ -143,12 +143,22 @@ septic_patients %>%
### Parameter `na.rm`
With the `na.rm` parameter (defaults to `TRUE`, but they will always be shown into the header), you can include `NA` values in the frequency table:
```{r, echo = TRUE}
septic_patients %>%
select(amox) %>%
freq(na.rm = FALSE)
```
### Parameter `row.names`
The default frequency tables shows row indices. To remove them, use `row.names = FALSE`:
```{r, echo = TRUE}
septic_patients %>%
select(hospital_id) %>%
freq(row.names = FALSE)
```
### Parameter `markdown`
The `markdown` parameter can be used in reports created with R Markdown. This will always print all rows: