calculate_mean_sd_trends: Calculate the Mean-Variance trend

In baldur: Bayesian Hierarchical Modeling for Label-Free Proteomics

Calculate the Mean-Variance trend

Description

Calculates the mean and standard deviation of each row (peptide) and adds them as new columns. Assumes that the condition names are the names in the design matrix.

Usage

calculate_mean_sd_trends(data, design_matrix)

Arguments

data	A tibble or data.frame to annotate with mean and sd
design_matrix	A design matrix for the data (see example).

Value

A tibble or data.frame with the mean and sd vectors

Examples

# Setup model matrix
design <- model.matrix(~ 0 + factor(rep(1:2, each = 3)))
colnames(design) <- paste0("ng", c(50, 100))

yeast %>%
    # Normalize data
    psrn("identifier") %>%
    # Get mean-variance trends
    calculate_mean_sd_trends(design)

baldur documentation built on Sept. 18, 2023, 9:07 a.m.