convertxrf: Converting XRF data from kcal to micromolar

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

Description

This function takes your generated project data frame created with readxrf() and the file containing information from the XRF machine, and converts your raw data from kcal to micromolar.

See vignette("xrfr") for more information.

Usage

convertxrf(imported_data, base_info, year, first_element, last_element)

Arguments

imported_data	The name of the data frame created with readxrf()
base_info	The name of the data frame containing detection limits, crystal drift, molar weights, and calibration constants.
year	The year the drift was measured closest to when your samples were analysed.
first_element	The name of the first column containing kcps values in the generated project data frame.
last_element	The name of the last column containing kcps values in the generated project data frame.

Value

description The function creates a data frame in the long format with the new columns "Concentration" and "Adjusted_detection_limit" showing the calculated concentration and the respective detection limit (calculated based on volume filtered).

Examples

## Not run: 
rawdata.df <- read_delim("xrf_rawdata.txt", delim = "\t", locale = readr::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")

## End(Not run)

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