RemoveFactorsByANOVA: RemoveFactorsByANOVA.

In MetabolomicsBasics: Basic Functions to Investigate Metabolomics Data Matrices

RemoveFactorsByANOVA.

Description

RemoveFactorsByANOVA will remove variance from data using an ANOVA model.

Usage

RemoveFactorsByANOVA(
  y = NULL,
  sam = NULL,
  fmod = NULL,
  kmod = NULL,
  output = c("y_norm", "y_lm", "anova_y", "anova_y_norm", "boxplot")[1],
  remove_outliers = 0
)

Arguments

y	Data vector (or data matrix) to normalize (numeric + in same order as sam).
sam	data.frame containing the factors or numerical vars for ANOVA model.
fmod	Full model describing the experimental setting (provided as character string).
kmod	Reduced model describing all the biological factors to keep (provided as character string).
output	Should be y_norm in general but can be switched for testing.
remove_outliers	Should be a numeric integer x (with $x=0$ : no effect; $x>=1$ remove all values which have error e with $e > abs(mean + x * sd)$ ).

Details

See examples.

Value

Depends on output. Usually the normalized data vector (or matrix).

Examples

# set up sample information
sam <- data.frame(
  "GT" = gl(4, 10),
  "TR" = rep(gl(2, 5), 4),
  "Batch" = sample(gl(2, 20)),
  "Order" = sample(seq(-1, 1, length.out = 40))
)

# set up artificial measurement data
set.seed(1)
# specify main effects
m1 <- c(5, 6, 2, 9)[sam$GT] + c(-2, 2)[sam$TR]
m2 <- c(5, -6, 2, 4)[sam$GT] + c(-2, 2)[sam$TR]
# add run order bias and noise
m1 <- m1 + c(-3, 3)[sam$Batch] + 3 * sam$Order + rnorm(nrow(sam), sd = 0.5)
m2 <- m2 - 5 * sam$Order + rnorm(nrow(sam), sd = 0.8)
dat <- data.frame(m1, m2)

# apply function to remove variance
# full model incorporating all relevant factors defined in sample table
fmod <- "GT*TR+Batch+Order"
# reduced model: factors to be kept from full model; everything elso will be removed from the data
kmod <- "GT*TR"
RemoveFactorsByANOVA(y = dat[, "m1"], sam = sam, fmod = fmod, kmod = kmod, output = "anova_y")
RemoveFactorsByANOVA(y = dat[, "m1"], sam = sam, fmod = fmod, kmod = kmod, output = "anova_y_norm")

MetabolomicsBasics documentation built on May 29, 2024, 9:02 a.m.