file.list {samplesizelogisticcasecontrol}

List to describe the covariate and exposure data

Description

The list to describe the covariate and exposure data for the data option.

Format

The format is: List of 7

file

Data file containing the confounders and exposure variables. No default.

exposure

Name or column number in file for the exposure variable. This can also be a vector giving the columns to form an interaction variable (see details). No default.

covars

Character vector of variables names or numeric vector of column numbers in file that will be confounders. These variables must be numeric. The length and order of the logOR argument must match the length and order of c(covars, exposure). The default is NULL.

header

0 or 1 if file has the first row as variable names. The default is determined from the first line of the file.

delimiter

The delimiter in file. The default is determined from the first two lines of the file.

in.miss

Vector of character strings to define the missing values. This option corresponds to the option na.strings in read.table(). The default is "NA".

subsetData

List of sublists to subset the data. Each sublist should contain the names "var", "operator" and "value" corresponding to a variable name, operator and values of the variable. Multiple sublists are logically connected by the AND operator. For example,
subsetData=list(list(var="GENDER", operator="==", value="MALE"))
will only include subjects with the string "MALE" for the GENDER variable.
subsetData=list(list(var="AGE", operator=">", value=50),
list(var="STUDY", operator="%in%", value=c("A", "B", "C")))
will include subjects with AGE > 50 AND in STUDY A, B or C. The default is NULL.

Details

In this list, file and exposure must be specified. If exposure is a vector of column names or column numbers, then an exposure variable will be created by multipling the columns defined in the vector to form the interaction variable. Thus, the columns must be numeric variables. In this case, the length and order of logOR must match the length and order of c(covars, <new interaction variable>).