fda.matchid: Match IDs from Clinical and Actigraph Data
In Actigraphy: Actigraphy Data Analysis

Description Usage Arguments Details Value Author(s) Examples

A function used to match actigraphy data and clinical covariates by subject IDs and return a list of the data combined by IDs. Only the subjects with both actigraphy and covariate data will be returned by this function.

1	fda.matchid(mat, acov, type, grouplab)

`mat`	A data frame with the rows being the time and the columns being the activity, with the column names being the subjects.
`acov`	A two column data frame that contains only subject IDs and a covariate of interest, respectively.
`type`	A string specifying either `"contin"` for continuous and `"factor"` for categorical covariates.
`grouplab`	A vector of names of the categories if `type is TRUE`.

Note: Only the subjects with both actigraphy and covariate data will be returned by this function.

A list consisting of two components as follows:

`mat`	A matrix where rows represent the time, columns are the samples, and the column names are the subjects.
`cov`	A two column matrix that contains the actigraphy data and clinical covariates.

William D. Shannon, Tao Li, Hong Xian, Jia Wang, Elena Deych, Carlos Gonzalez

	data(act_29pt)
	data(clinic_29pt_ahi)
	
	data <- act_29pt
	ahi <- clinic_29pt_ahi
	
	### Example 1: Continuous Covariate
	matchida  <- fda.matchid(data, ahi, "contin")
	
	
	### Example 2: Categorical Covariate
	ahi$ahicat <- as.factor(
		ifelse(ahi$AHI >= 0 & ahi$AHI <= 5, 1,
		ifelse(ahi$AHI > 5 & ahi$AHI <= 15, 2,
		ifelse(ahi$AHI > 15 & ahi$AHI <= 30, 3,
		ifelse(ahi$AHI > 30, 4, 0))))
	)
	
	matchidb  <- fda.matchid(data, ahi[,-2], "factor", 
			c("normal", "mild", "moderate", "severe"))