ds.condPercentile: Distributed Conditional Percentile

In paularaissa/distStatsClient: Distributed Multiple Imputations

Description

Computes the distributed conditional percentile for a given study and categorical variables.

Usage

ds.condPercentile(varName, catName, category, xValue, datasources)

Arguments

varName	a character, the name of numerical variable.
catName	a character, the name of categorical variable.
category	the given category to calculate the corresponding percentile.
xValue	the given value to calculate the corresponding percentile.
datasources	a list of parameters to access files sytems or databases.

Details

Read each datasource (node) and compute the combined percentile according to categories.

Dependencies

getSamplesCounting getPercentile

Author(s)

Rui Camacho, Paula Raissa

Examples

{
fileNames <- c("juul.csv", "juul2.csv")
varName <- "age"
catName <- "sex"
ds.CondPercentile(varName, catName, 'f', 10, fileNames)
}

paularaissa/distStatsClient documentation built on June 19, 2019, 12:43 a.m.