extract_data_raw: Import Raw PERCH Data 'extract_data_raw' imports and converts...

In zhenkewu/baker: "Nested Partially Latent Class Models"

Import Raw PERCH Data extract_data_raw imports and converts the raw data to analyzable format

Description

Import Raw PERCH Data

extract_data_raw imports and converts the raw data to analyzable format

Usage

extract_data_raw(
  dat_prepared,
  strat_nm,
  strat_val,
  meas_object,
  extra_covariates = NULL
)

Arguments

dat_prepared	The data set prepared in clean_perch_data.
strat_nm	The vector of covariate names to separately extract data. For example, in PERCH data cleaning, X = c("newSITE","CASECONT").
strat_val	The list of covariate values to stratify data. Each element corresponds to elements in X. For example, in PERCH data cleaning, Xval = list("02GAM","1").
meas_object	A list of bronze-standard or silver-standard measurement objects made by function make_meas_object().
extra_covariates	The vector of covariate name for regression purposes. The default is NULL, which means not reading in any covariate.

Value

A list of data.

Mobs

MBS

A list of Bronze-Standard (BrS) measurements. The names of the list take the form of specimen_test. Each element of the list is a data frame. The rows of the data frame are for subjects; the columns are for measured pathogens.

MSS

A list of Silver-Standard (SS) measurements. The formats are the same as MBS above.

MGS

A list of Gold-Standard (GS) measurements. It equals NULL if no GS data exist.

X

A data frame with columns specified by extra_covariates.

See Also

clean_perch_data()

Other raw data importing functions: read_meas_object()

zhenkewu/baker documentation built on May 6, 2024, 11:19 p.m.