reduceReplicates: Reduce replicated measurements to mean and standard deviation

Description Usage Arguments Format Details Value Author(s)

View source: R/statistics.R

Description

Obtain the mean and standard deviation from replicates per condition.

Usage

1
reduceReplicates(file, select = "condition", datatrans = NULL)

Arguments

file

Data file of csv. See Format for details.

select

Names of the columns in the data file used to define conditions, see Details.

datatrans

Character vector describing a function to transform data. Use x to refere to data.

Format

The following columns are mandatory for the data file.

name

Name of the observed species.

time

Measurement time point.

value

Measurement value.

condition

The condition under which the observation was made.

In addition to these columns, any number of columns can follow to allow a fine grained definition of conditions. The values of all columns named in select are then merged to get the set of conditions.

Details

Experiments are usually repeated multiple times possibly under different conditions leading to replicted measurements. The column "Condition" in the data allows to group the data by their condition. However, sometimes, a more fine grained grouping is desirable. In this case, any number of additional columns can be append to the data. These columns are referred to as "condition identifier". Which of the condition identifiers are used to do the grouping is user defined by anouncing the to select. The mandatory column "Condition" is always used. The total set of different conditions is thus defined by all combinations of values occuring in the selected condition identifiers. The replicates of each condition are then reduced to mean and variance.New conditions names are derived by merging all conditions which were used in mean and std.

Value

A data frame of the following variables

time

Measurement time point.

name

Name of the observed species.

value

Mean of replicates.

sigma

Standard error of the mean, NA for single measurements.

n

The number of replicates reduced.

condition

The condition for which the value and sigma were calculated. If more than one column were used to define the condition, this variable holds the effecive condition which is the combination of all applied single conditions.

Author(s)

Wolfgang Mader, Wolfgang.Mader@fdm.uni-freiburg.de


dMod documentation built on Jan. 27, 2021, 1:07 a.m.