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.
We suggested to use the latest version of R and RStudio. The old version may not support some visualization functions
To install package from GitHub, we need R package "remotes". Package "mephas" need to use some functions from "mephas.tools", so we need to install 2 packages.
> packageVersion("remotes")
> install.packages("remotes")
> remotes::install_github(c("mephas/mephas.tools", "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 "remotes" can be replaced by package "devtools"
Videos of the installation process on windows
Installing from ".tar.gz" file is not recommended. Users need to install two packages: "mephas.tools" and "mephas". Some packages are also required.
> 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, we need to load the package "mephas" together with "mephas.tools"
> library(mephas)
Then, you can open the applications as follows.
> mephasOpen()
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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