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I try my best to share my basic workarounds in R to more effectively do statistical research. Feel free to be inspired or comment.
AS all functions have been collected in the package daDoctoR, please refer to the documentation there.
Install the package with the following command: devtools::install_github('agdamsbo/daDoctoR')
## Further research
In need of a suitable function to perform the chi-squared test of Hardy-Weinberg-equillibrium in my study poppulation, I ended up writing my own. It also contains a few summarise functions. This is actually the function I am most proud of, as it represents an actual universal test for both bi- and triallelic sustems in non-sexcromosome genes.
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## Research year
This is my first attempt at creating something usefull for openly sharing. In my work as a research year student through Aarhus University, Denmark at Aarhus University Hospital, Denmark, I've been introduced to working in the programming language R.
During this work I've come accross a few problems apparently unique for the work with data from the Danish medical databases. To analyse the data in R I've had to rewrite some commands and to write my own, so I thought that I should share them here for others to take advantage of. Nothing fancy, but hopefully you can skip af few steps on your way through data analysis.
These functions are forked from my original uploads as drgammelgaard.
For a start I've uploaded five commands for extracting data from cpr-numbers:
Commands for extracting data from cpr-numbers:
- age_calc_function.R
- cpr_check_function.R
- cpr_sex_function.R