FishResp (version 1.1.1)

export.MR: Export Metabolic Rate

Description

The function is used to export final dataset with information about background respiration, absolute and mass-specific metabolic rates into a .txt or .csv file. If two traits (MR.data.1, MR.data.2) are used, the datasets might be merged. Additionally, absolute, mass-specific and factorial metabolic scope might be calculated, where MR.data.1 is standard or resting metabolic rate and MR.data.2 is active or maximum metabolic rate.

Usage

export.MR(MR.data.1, MR.data.2, file = "",
          simplify = TRUE, MS = TRUE,
          plot.MS.abs = TRUE,
          plot.MS.mass = TRUE,
          plot.MS.fact = TRUE)

Value

If only one traits exists, the function exports a data frame with full or simplified structure. If both traits are used, the function returns and exports 'MR.data.1' and 'MR.data.2' with metabolic scope parameters (optionally).

Arguments

MR.data.1

a data frame obtained by using the function extract.slope

MR.data.2

a data frame obtained by using the function extract.slope

file

the name of an exported file with results of the analysis

simplify

logical: if TRUE, the number of columns in the extracted data frame is reduced

MS

logical: if TRUE, metabolic scope is calculated and attached to the exported dataset

plot.MS.abs

logical: if TRUE, the graph of absolute metabolic scope is plotted (x-axis shows measurement phases for MR.data.2)

plot.MS.mass

logical: if TRUE, the graph of mass-specific metabolic scope is plotted (x-axis shows measurement phases for MR.data.2)

plot.MS.fact

logical: if TRUE, the graph of factorial metabolic scope is plotted (x-axis shows measurement phases of for MR.data.2)

Examples

if (FALSE) {
# if the data have been already loaded to R,
# skip the first two lines of the code:
data(SMR)
data(AMR)

results <- export.MR(SMR, AMR,
                     file = "results.txt",
                     simplify = TRUE,
                     MS = TRUE,
                     plot.MS.abs = TRUE,
                     plot.MS.mass = TRUE,
                     plot.MS.fact = TRUE)
}