ValidateDf: Validate data frame for variability in exposure and outcome

In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network

Description

Validate a given data frame for variability in the exposure variable and outcome variable. The exposure variable specified in expo_var should have two values to make regression meaningful. Only one of out_var and event_var is required although both can be validated at the same time. Because the error raised can stop the simulation, it should be used within try function.

Usage

ValidateDf(df, expo_var, bin_var = NULL, event_var = NULL)

Arguments

df	data frame to be used in a regression analysis
expo_var	string for the exposure variable name
bin_var	string for the binary outcome variable name
event_var	string for the survival event indicator variable name (1 for event)

Value

the validated data frame if it is valid. Otherwise, an error is raised to stop estimation on invalid data.

Author(s)

Kazuki Yoshida

kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.