Analysis of data files

Open
#3 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
r
Domain
analytics, data

Research direction

No files, tests, or entry points are named. Start by locating the imported-data workflow and any existing analysis controls, then determine how descriptive statistics and intervention-group stratification fit into it. Done means users can choose descriptive statistics, select all data or intervention groups, and perform the analysis.

Written by the indexing model from the issue text.

Description

User story
  • As a researcher I would like to perform different types of analysis with the imported data file. It should be possible to specify the type of analysis. If “descriptive analysis” is selected for analysis, a standard set of descriptive statistics is presented, covering frequency tables for individual qualitative variables and median/quartiles, resp. mean/SD for quantitative variables. The analysis should be performable with all individual data or stratified per intervention

If an imported data file has been selected, a button “analysis” can be clicked. A list of different analysis options appears, covering “descriptive statistics” and “confirmative statistics” (for the start only the button “descriptive statistics” is active). If “descriptive statistics” is selected, a list with options should appear, covering “all individual data sets” or “stratified per intervention group”. If an option is selected, a button “perform analysis” can be clicked.

Dominant language
R
Stars
2
Forks
0
PR merge metrics
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from ecrin-github/SIMCor

All issues in ecrin-github/SIMCor

Similar issues

More R issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.