Nothing
### test-univariateTable.R ---
#----------------------------------------------------------------------
## author: Thomas Alexander Gerds
## created: May 9 2015 (07:55)
## Version:
## last-updated: Apr 3 2022 (11:57)
## By: Thomas Alexander Gerds
## Update #: 10
#----------------------------------------------------------------------
##
### Commentary:
##
### Change Log:
#----------------------------------------------------------------------
##
### Code:
library(testthat)
library(prodlim)
library(Publish)
data(Diabetes)
test_that("univariateTable no groups",{
u1 <- univariateTable(~age +gender + height + weight,data=Diabetes)
a <- summary(u1,show.missing=1L)
expect_equal(NROW(a),9)
b <- summary(u1,show.missing=0L)
expect_equal(NROW(b),5)
u2 <- univariateTable(~age,data=Diabetes)
u3 <- univariateTable(~gender,data=Diabetes)
a1 <- publish(univariateTable(~age+gender+ height+weight,data=Diabetes))
a2 <- publish(summary(univariateTable(~age+gender+ height+weight,data=Diabetes)))
expect_equal(a1,a2)
})
test_that("Univariate table with groups and missing values and labels with special characters",{
Diabetes$AgeGroups <- cut(Diabetes$age,
c(19,29,39,49,59,69,92),
include.lowest=TRUE)
univariateTable(location~age+gender+height+weight+AgeGroups,data=Diabetes)
publish(summary(univariateTable(location~age+gender+height+weight,
data=Diabetes)),org=TRUE)
v <- univariateTable(gender ~age+height,data=Diabetes)
sv <- summary(v,show.missing="always")
univariateTable(location~factor(AgeGroups)+gender+height+weight,
data=Diabetes,
summary.format="median(x) {iqr(x)}")
levels(Diabetes$frame) <- c("+large","medi()um=.<",">8")
expect_output(publish(summary(univariateTable(frame~age+gender+height+weight+location,
data=Diabetes)),org=TRUE))
expect_output(publish(summary(univariateTable(location~age+gender+height+weight+frame,
data=Diabetes)),org=TRUE))
})
test_that("Univariate table with row percent",{
a <- summary(univariateTable(frame~gender+location, data=Diabetes,column.percent=TRUE))
b <- summary(univariateTable(frame~gender+location, data=Diabetes,column.percent=FALSE))
expect_equal(as.numeric(colSums(a[a$Variable=="gender"]==b[b$Variable=="gender"])),c(4,0))
})
if (FALSE){
test_that("Univariate table with stupid function",{
stupid <- function(x){
if (mean(x)>47) "large" else "small"
}
univariateTable(location~age+height+weight,
data=Diabetes,
summary.format="Mean: mean(x) stupid's distance: (stupid(x))")
publish(summary(univariateTable(location~age+height+weight,
data=Diabetes,
summary.format="Mean: mean(x) stupid's distance: (stupid(x))")),
org=TRUE)
MeanSe <- function(x){
paste("Mean=",round(mean(x),1)," Standard.error=",round(sd(x)/sqrt(length(x)),3),sep="")
}
expect_output(publish(univariateTable(location~age+height+weight,data=Diabetes,summary.format="MeanSe(x)")))
ux <- univariateTable(location~gender+age+AgeGroups,
data=Diabetes,
column.percent=FALSE,
freq.format="count(x)")
sux <- summary(ux)
publish(sux,org=TRUE)
})
}
#----------------------------------------------------------------------
### test-univariateTable.R ends here
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.