MEPHAS is a shiny-based statistical software that was developed to support statistical data analyses for medical and pharmaceutical students, researchers, and doctors.
Two platforms are available: (1) web server and (2) R package.
> packageVersion("devtools")
> devtools::install_github(“mephas/mephas”,upgrade="never")
> install.packages("devtools")
> devtools::install_github(“mephas/mephas”,upgrade="never")
Note: upgrade="never"
: suppress the updates of the R packages, see details here; package "remotes" and "devtools" shared the same install_github
function, thus package "devtools" can be replaced by package "remotes", see details about "remotes"
Videos of the installation process on windows
> mephas.need.packages <- c("DescTools",
"DT",
"exactRankTests",
"dunn.test",
"ROCR",
"ggplot2",
"magrittr",
"psych",
"pls",
"plotly",
"reshape",
"shiny",
"shinythemes",
"shinyWidgets",
"survival",
"survminer",
"survAUC",
"spls")
> not.installed.packages <- mephas.need.packages[!(mephas.need.packages %in% installed.packages()[,"Package"])]
> not.installed.packages
> if(length(not.installed.packages)) install.packages(not.installed.packages)
Videos of the installation process on windows
Before open the applications, please load the package mephas
> library(mephas)
Then, you can open the applications as follows.
> mephasOpen()
Videos of the opening process on windows
Continuous probability distribution, web server
> MFScondist()
Discrete probability distribution, web server
> MFSdisdist()
> MFSttest()
> MFSnptest()
> MFSproptest()
> MFSrctabtest()
> MFSanova()
Linear regression, web server
> MFSlr()
Logistic regression, web server
> MFSlogit()
Survival analysis, web server
> MFSsurv()
Dimensional analysis 1, web server
> MFSpca()
Dimensional analysis 2, web server
> MFSpls()
More functions are under construction...
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