No matter which gene pair, tissue or sample type I choose, p-value is always p < 2.2e-16. At first I thought that some data could remain in res object, but clearing the R environment does not help. It is even more interesting since the same p-value is in the homepage picture at https://gccri.bishop-lab.uthscsa.edu/correlation-analyzer/ (or more directly: https://gccri.bishop-lab.uthscsa.edu/correlation-analyzer/Fig1.png).
Pearson’s R is changing, though.
The reason why I wanted to use R standalone version is the fact that website version uses res$compared$correlationPlotBin equivalent to plot Gene vs Gene correlation, which does not show p-values but y=a+bx equation.
Any help would be appreciated.
No matter which gene pair, tissue or sample type I choose, p-value is always p < 2.2e-16. At first I thought that some data could remain in res object, but clearing the R environment does not help. It is even more interesting since the same p-value is in the homepage picture at https://gccri.bishop-lab.uthscsa.edu/correlation-analyzer/ (or more directly: https://gccri.bishop-lab.uthscsa.edu/correlation-analyzer/Fig1.png).
Pearson’s R is changing, though.
The reason why I wanted to use R standalone version is the fact that website version uses res$compared$correlationPlotBin equivalent to plot Gene vs Gene correlation, which does not show p-values but y=a+bx equation.
Any help would be appreciated.