This app was developed by the Bioinformatics Core of Cancer Research Uk Cambridge Institute to accompany a training course. On the course webpage you will find lecture notes from the course and practical exercises that use this appIntroduction to Statistical Analysis
The boxplot and histogram of the data are shown below
Basic Summary
Two sample test
If you have chosen a Parametric test, the comparison of the calculated test-statistic to the reference distribution will be shown here
F test for differences in variance
F test to compare the variances of two samples from normal populationsWARNING: Please use the result of this test with caution. Sometimes you can better judge differences in variance by inspecting the data distribution
R Script
You will be able to re-run this analysis in R by downloading the R code belowWe recommend RStudio to run the R code and compile a pdf or HTML report that will show the results of your analysis along with the code used RStudio The input file that you are analysing must be in your R working directory in order for the script to runIn order to compile the report in RStudio, you will need to install the tidyverse packageinstall.packages('tidyverse'))Download R ScriptDownload R Markdown file