Robust two sample tests applications by using statistical programming language R

There are various statistical tests used for performing statistical inferences in the recent statistics literature. The software and algorithms developed for these statistical tests help the researcher in making inferences. These software programs are generally called statistical software. Current statistical software can easily perform many classical statistical tests. However, further studies on these software programs are needed and some novel software and algorithms have been tried to be developed since the current programs are inadequate for the newly developed statistical methods against some hypothesis violations. In this study, the R programming language, which has been widely used especially in academic studies, is mentioned. R, which was designed especially for data processing, computation, graphical display and statistical methods, is a programming language that has been developed by the contributions of researchers from various places in the world since 1997, which is accessable free of charge. In the application chapter of the study, a R function is written for the B square test with one-step M-estimator and bootstrap-t method and a simulation study is conducted for various two independent samples tests. And the results of the simulation are discussed in detail.