clean: clean, a function to check data and inputs.

In ICTatRTI/PersonAlytics: Analytics for N-of-1 and small N intensive longitudinal designs, idiographic clinical trials (ICT), and interrupted time series

clean, a function to check data and inputs.

Description

clean, a function to check data and inputs.

Usage

clean(
  data,
  ids,
  dv,
  time,
  phase = NULL,
  ivs = NULL,
  fixed = NULL,
  random = NULL,
  formula = NULL,
  correlation = NULL,
  family = NO(),
  dvs = NULL,
  target_ivs = NULL,
  standardize = list(dv = FALSE, iv = FALSE, byids = FALSE),
  sortData = TRUE,
  alignPhase = "none",
  debugforeach = debugforeach
)

Arguments

data	See PersonAlytic.
ids	See PersonAlytic.
dv	See Palytic.
time	See PersonAlytic.
phase	See PersonAlytic.
ivs	See PersonAlytic.
fixed	See Palytic.
random	See Palytic.
formula	See Palytic.
correlation	See PersonAlytic.
family	See PersonAlytic.
dvs	See PersonAlytic.
target_ivs	See PersonAlytic.
standardize	Logical. Should all variables be standardized? Only applies to dvs, ivs, and target_ivs.
alignPhase	See PersonAlytic.

Author(s)

Stephen Tueller [e-mail]

Examples

## Not run: 
data <- clean(data=OvaryICT, ids='Mare', dv='follicles',
              time='Time', phase='Phase')
# illustrate dropping cases with < 2 observations
data <- clean(data=OvaryICT[29:nrow(OvaryICT),], ids='Mare', dv='follicles',
              time='Time', phase='Phase')

## End(Not run)

ICTatRTI/PersonAlytics documentation built on Dec. 13, 2024, 11:06 p.m.