The log rank test is a non-parametric test for comparing the survival distributions of two groups. It is commonly used to test the difference in survival between two groups, such as treatment and control groups in a clinical trial.
The t-test is a parametric test for comparing the means of two groups. It is commonly used to test the difference in means between two groups, such as the mean of a treatment group versus the mean of a control group.
This repository contains code for performing log rank tests and t-tests in R and Python. The code is organized into two folders: R and Python.
The Python code is contained in the Python folder. It contains a single function, logrank_test, which performs the log rank test. The function takes two arguments: time and event. The time argument is a vector of times, and the event argument is a vector of events (0 or 1). The function returns a list containing the results of the test.
The Python code also contains a single function, ttest, which performs the t-test. The function takes two arguments: x and y. The x argument is a vector of values for the first group, and the y argument is a vector of values for the second group. The function returns a list containing the results of the test.
The R code was contained in the R folder. It contains a single function, logrank_test, which performs the log rank test. The function takes two arguments: time and event. The time argument is a vector of times, and the event argument is a vector of events (0 or 1). The function returns a list containing the results of the test.
The R code also contains a single function, ttest, which performs the t-test. The function takes two arguments: x and y. The x argument is a vector of values for the first group, and the y argument is a vector of values for the second group. The function returns a list containing the results of the test.
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