README.md

In muhohl/geochem: Wrangling, Analysing, And Visualization Of Geochemical Data

geochem

! Developement of this package has just begun !

The goal of geochem is to analyse and wrangle geochemical data sets more efficiently with the help of R. Most geochemical datasets contain elements as variables and only a few categorical variable. Geochems aim is it to make looking at those different elements in a more consistend workflow.

Installation

Package is not on CRAN yet.

You can install the released version of geochem from CRAN with:

install.packages("geochem")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("muhohl/geochem")

Example

This is a basic example which shows you how to solve a common problem:

library(geochem)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub!

Laser Maps

TODO Write instructions for the laser maps function!

1. Load the files / Create a random laser map data frame

2. Select the elements

3. Create a Log_Trans tibble

4. Use the clipping function

5. Clip the data set

6. Create list with plots

7. Plot the list with plots

8. Save the plot

XMOD Maps

A couple of functions that allow the user to plot XMOD maps.

TODO

* Add remaining functions. 
* Create dummy data frames for laser spot data, a laser map, and a XMOD data set.

muhohl/geochem documentation built on March 4, 2025, 8:14 p.m.