| recur_followup_table {card} | R Documentation |
Initial and Final Visit Table
Description
Makes a before/after dataset using a unique ID that follows patients between studies, to allow for comparison over time.
Usage
recur_followup_table(data, studyid, keyid, date)
Arguments
data |
Data frame containing all clinical covariates of interest |
studyid |
Should be one ID for every study date/visit. Can have multiples ONLY if there were several data points gathered on a single visit (e.g. heart rate measured multiple times on the same day). |
keyid |
Should be the ID that corresponds to each studyid throughout each visit |
date |
Name of column containing the date of each visit |
Details
Currently functions by taking two input IDs, one being a ID that is the same between studies (a true key ID) and an ID that is unique to that study itself. It will arrange by dates, and and slice data into an initial visit and the most recent visit. Each row should have a KEY ID and a STUDY ID. The data is in a long format, such that the STUDY IDs are unique / not duplicated.
Value
Returns list of initial and most recent data sets. These can easily be merged after with any naming nomenclature as chosen, or with any merging keys as chosen (in case there are several merging variables, like keyid + hour of day for circadian data).