rxns | Fullstack micro-actor-services for Rx | Reactive Programming library
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Fullstack micro-actor-services for Rx
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QUESTION
I would like to merge two dataframes based on similar patterns in the chromosome column. I made various attempts with R & BASH such as with "data.table" "tidyverse", & merge(). Could someone help me by providing alternative solutions in R, BASH, Python, Perl, etc. for solving this solution? I would like to merge based on the chromosome information and retain both counts/RXNs.
NOTE: These two DFs are not aligned and I am also curious what happens if some values are missing.
Thanks and Cheers:
DF1:
...ANSWER
Answered 2021-May-17 at 10:15If I understand your request correctly, this should do it in Python. I've made the Chromosome column into the index of each DataFrame.
QUESTION
I am getting some errors while trying to run a Perl file which is I need to run. (I usually use Python but I do not know any other programming languages including Perl.) I will show errors firstly, then I will attach the whole code in the end.
The error:
...ANSWER
Answered 2021-Jan-20 at 03:56QUESTION
I'm a newbie to the world of coding/programming. Loving the challenge so far but I've hit a bit of a roadblock.
I'm attempting to automate genotyping preparation for my job as a lab technician.
Unnecessary background:
I take care of a colony of 500-600 mice with 40-50 given genotype constructs at any given time. Whenever I get new litters (depending on the genotype of the parents) I have to extract DNA and confirm the genotype of the offspring. The task and the challenge of trouble-shooting the process were fun at first but it's getting very mundane and repetitive now. So I've started using R to automate certain parts of my job.
TL/DR: My job is getting repetitive, I want R to help out with that.
So, in essence, I have an archive of mice as follows. I grouped them by the temperature requirements for the genotyping process and by the number of times I need to genotype the DNA samples.
...ANSWER
Answered 2020-Apr-09 at 03:36Here's an approach with the help of dplyr
, grid
and gridExtra
.
Please excuse the hot mess that is my variable naming convention.
Your data was not complex enough to make a good system, so I generated some random data. Find that at the very end.
First, lets define our litters and filter the mouse data.
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