widen_means_above: Widening the data frame, filtering out concentrations below...

In agryt/xrfr: Converting XRF Data from Kilo-counts per Second to Micromolar

Description

This function will widen your data and exclude concentrations below the detection limits like widen_above(), and will also calculate the means based on your two factors like widen_means().

See vignette("xrfr") for more information.

Usage

widen_means_above(project_data, first_factor, second_factor = NULL)

Arguments

project_data	The name of the data frame created with convertxrf().
first_factor	The name of the column that shows the first or only factor you want to calculate means based on, for example depth.
second_factor	The name of the column that shows a potential second factor you want to calculate means based on, for example location.

Value

description The function returns a data frame that shows the mean concentrations calculated from the concentrations above the detection limits for each element based on one or two factors.

Examples

## Not run: 
rawdata.df <- read_delim("xrf_rawdata.txt", delim = "\t", locale = locale(decimal_mark = ","))
projectinfo.df <- read_excel("xrf_projectinfo.xlsx")
baseinfo.df <- read_excel("xrf_setup.xlsx")

projectfile.df <- readxrf(raw_data = rawdata.df, project_info = projectinfo.df)
project.df <- convertxrf(imported_data = projectfile.df, base_info = baseinfo.df, year = "2019", first_element = "C", last_element = "As")

meansabovedetlim.df <- widen_means_above(project_data = project.df, first_factor = "Treatment", second_factor = "Day")

## End(Not run)

agryt/xrfr documentation built on May 13, 2021, 8:24 p.m.