Download

Windows

You can download the latest version from Github Release. Please select the BIOSTATS.exe file.

Or you can download it from the link below:

• https://github.com/hikarimusic/BIOSTATS/releases/latest/download/BIOSTATS.exe

Double click the downloaded file to run BIOSTATS.

Note

If Windows protect you from running it, please press More info > Run anyway. There is definitely no virus in BIOSTATS, and you can check all the codes on the Github Repository.

Note

Sometimes it will take quite a long time to open BIOSTATS. It is usually due to the virus scanning process of your computer, and I can do nothing about it. Please just wait for a while and maybe have a cup of tea!

Linux

You can download the latest version from Github Release. Please select the BIOSTATS file.

Or you can download it from the link below:

• https://github.com/hikarimusic/BIOSTATS/releases/latest/download/BIOSTATS

Double click the downloaded file to run BIOSTATS. Or you can cd into the directory where BIOSTATS is in, and run the program by ./BIOSTATS.

Note

In Linux, you may need to permit the execution by chmod +x BIOSTATS before running the program.

Python Package

For users who are familiar with Python, you can download the Python package and use it in the interactive mode or in your own project. To download the package, run the following command in the terminal:

pip install biostatistics

You can open the main window directly by the command biostats in any directory:

biostats

Or you can use BIOSTATS interactively in the terminal:

:~$ python3
>>> import biostats as bs
>>> data = bs.dataset("one_way_anova.csv")
>>> summary, result = bs.one_way_anova(data=data, variable="Length", between="Location")
>>> summary
     Location  Count      Mean  Std. Deviation  95% CI: Lower  95% CI: Upper
1   Tillamook     10  0.080200        0.011963       0.071642       0.088758
2     Newport      8  0.074800        0.008597       0.067613       0.081987
3  Petersburg      7  0.103443        0.016209       0.088452       0.118434
4     Magadan      8  0.078012        0.012945       0.067190       0.088835
5   Tvarminne      6  0.095700        0.012962       0.082098       0.109302
>>> result
          D.F.  Sum Square  Mean Square  F Statistic   p-value
Location     4    0.004520     0.001130     7.121019  0.000281  ***
Residual    34    0.005395     0.000159          NaN       NaN  NaN

or incorporate BIOSTATS into your own project:

import biostats as bs

data = bs.dataset("one_way_anova.csv")
summary, result = bs.one_way_anova(data=data, variable="Length", between="Location")
print(summary)
print(result)