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 app Introduction to Statistical Analysis




View source Code for app

            
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 populations WARNING: 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 below We 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 run In order to compile the report in RStudio, you will need to install the tidyverse package install.packages('tidyverse'))

Download R Script

Download R Markdown file