get.scaled: Scale Data

In pranavdorbala/proteomicsHF: ARIC Proteomics of Heart Failure -- Biomarker Discovery Pipeline

Description

This function scales data after tables are made. Scales numeric adjustment and proteomic variables. Done separately to maintain scale and values for table 1 and figure generation. Numeric adjustment variables must be specified. See numeric.id() for more details.

Usage

get.scaled(data, adjust, proteins = NULL)

Arguments

data	Tibble of Data to be scaled
adjust	List of NUMERIC ADJUSTMENT VARS ONLY – output of numeric.id().
proteins	List of Proteins to Scale

Value

Tibble where all numeric adjustment variables and protein variables are scaled to mean 0 and sd 1.

Examples

## Not run: 
labels <- get.labels('data/proteinMapping.csv', sid,
                     uniprot.full.name,
                     entrezgenesymbol,
                     flag2 == 0)

soma.data.fifth <- get.soma('data/somaV5.txt', labels)

fifth.visit.study <-
  get.adjust(stata = haven::read_dta('data/ARICmaster_121820.dta'),
             mods  = list('data/visit-five/outcomes.csv',
                          'data/visit-five/adjusted.csv'),
             filts = list('data/visit-five/filters.csv'))

adj <- readr::read_csv('data/visit-five/adjusted.csv')[[1]][-1]

visit.data <- get.data(fifth.visit.study, soma.data.fifth, adj)

num.vars <- numeric.id(visit.data, adj)
visit.data.scaled <- get.scaled(visit.data, num.vars, labels$term)

## End(Not run)

pranavdorbala/proteomicsHF documentation built on March 9, 2021, 12:22 a.m.