baldur (version 0.0.4)

calculate_mean_sd_trends: 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, auxiliary_columns = c())

Value

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

Arguments

data

A tibble or data.frame to annotate with mean and sd

design_matrix

A design matrix for the data (see example).

auxiliary_columns

Names of columns in the design matrix that does not have corresponding data in the data set. For example, this can be co-founding variables such as bashes.

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)