The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The goal of demoGraphic is providing five main function cont_table(), cat_table(), demo_table(), smd_plot(), mydocx(). These are used to calculate the mean, standard deviation, pvalue was performanced on t-test for continuous variables, the contigency table and propotion, chi square test or fisher exact test were performanced to get p value, the standardized difference between two groups.
You can install the released version of demoGraphic from CRAN with:
install.packages("demoGraphic")This is a basic example which shows you how to solve a common problem:
# Create data set
set.seed(2018)
group <-round(abs(rnorm(500)*10),0) %% 2
cont_1 <-round(abs(rnorm(500)*10),0)
cont_2 <-round(abs(rnorm(500)*50),0)
cont_3 <-round(abs(rnorm(500)*30),0)
cat_binary <-round(abs(rnorm(500)*10),0) %% 2
cat_multi_1 <-round(abs(rnorm(500)*10),0) %% 3
cat_multi_2 <-round(abs(rnorm(500)*10),0) %% 4
cat_multi_3 <-round(abs(rnorm(500)*10),0) %% 5
data<-data.frame(group, cont_1, cont_2, cont_3, cat_binary, cat_multi_1, cat_multi_2, cat_multi_3)
data$group <- factor(data$group, levels = c(0,1), labels = c("Unexposed","Exposed"))
data[,c(6,7,8)] <- lapply(data[,c(6,7,8)], as.factor)
# ===================================================
# 1. testing continuous variable
# 1a. Test one variable
t <- cont_table("cont_2","group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$smd_table,"smd_table")
#=====================================
# 1b. Test multiple variables
var <- c("cont_1","cont_2","cont_3")
t <- cont_table(var,"group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$smd_table,"smd_table")
# ===================================================
# 2. testing catgorical variable
# 2a. Test one variable
t <- cat_table("cat_binary","group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$smd_table,"smd_table")
#=================================
# 2b. Test multiple variables
var <- c("cat_binary","cat_multi_1","cat_multi_2","cat_multi_3")
t <- cat_table(var,"group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$smd_table,"smd_table")
#======================================
# 3. Test demo_table function (continuous and categorical variables together)
# 3a. One variable
t <- demo_table("cat_binary","group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$smd_table,"smd_table")
#===================================
# 3b. Multiple variables
var <- c("cat_binary","cont_1","cont_2","cont_3","cat_multi_1","cat_multi_2","cat_multi_3")
t <- demo_table(var,"group", data)
t$smd_table # smd table
t$demo_table # demographic table
p <- smd_plot(t$smd_table) # plot smd
p
# write smd table with file name smd_table.docx and save it in directory
mydocx(t$demo_table,"demo_table")
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.