patch: Patches holes in a data set by using group means and...

In cdiener/dycone: dycone - analyze the dynamic landscape of metabolome data

Description

Biological data is only rarely complete, however k-cone analysis requires fully populated steady state concentration data. This functions helps to patch holes in your data. It assumes that the measurements data set is a data frame where the id column uses a shared identifier as the reference data set and the data columns specifify control and treatment measurements. The optional reference data set is further used to fill up holes which cannot be patched by group means.

Usage

patch(measurements, id, normal, treatment, ref_data = NULL)

Arguments

measurements	A data frame with one id column, and at least one normal and one treatment column
id	An index or column name specifying the ids
normal	A vector of indices or column names specifying the control group
treatment	A vector of indices or column names specifying the treatment group
ref_data	An optional data frame of reference data 2 or 3 columns, where the first column denotes the ids, the second the normal reference data and the (optional) third column the treatment reference data.

Value

The original measurement data frame with a maximum number of missing data being patched.

Examples

x <- data.frame(id = 1:3, normal = c(NA, 1, 2), disease = c(2, NA, 3))
patch(x, 1, 2, 3)

cdiener/dycone documentation built on May 13, 2019, 2:41 p.m.