Analysis of two variables by nonparametric method
In science and engineering, nonparametric correlation and variance analysis and hypothesis test of variance analysis may be required to verify experimental results. Statistical analysis software that can be operated with GUI is expensive. Excel can do parametric hypothesis test only. You can do nonparametric hypothesis testing by using R or Python, but you need to operate with CUI. We created a web application using R / Shiny so that scientists and engineers can easily do nonparametric hypothesis tests.
You can install from R console. If shiny, tibble, NSM3 and ggplot2 are not installed on your PC, install shiny, tibble, NSM3 and ggplot2 with Internet connection.
install.packages(c("shiny", "ggplot2", "tibble", "NSM3", "lawstat"))
If shiny is installed, it can be started from R console with the following command.
shiny::runGitHub("atv", "ToshihiroIguchi")
For those who have difficulty installing R, I have published it as a web application in shinyapps.io.
Host the Shiny application from GitHub in a private network. Enter the following command in R console.
#Port specification
port <- 1192
#Acquire private address information
ipconfig.dat <- system("ipconfig", intern = TRUE)
ipv4.dat <- ipconfig.dat[grep("IPv4", ipconfig.dat)][1]
ip <- gsub(".*? ([[:digit:]])", "\\1", ipv4.dat)
#Host the Shiny application from GitHub
shiny::runGitHub("atv", "ToshihiroIguchi", launch.browser = FALSE, port = port, host = ip)
If you are in the private network, you can also launch the Shiny application by entering the URL following Listing on to the browser.
MIT License
Copyright (c) 2018 Toshihiro Iguchi
Permission is hereby granted, free of charge, to any person obtaining a copy
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in the Software without restriction, including without limitation the rights
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The above copyright notice and this permission notice shall be included in all
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Toshihiro Iguchi