crm.test.new

A subset, N = 10, of simulated Control Reference Material (CRM) data for copper with mean 34.5 and SD 2.19.

datasets

Geological Survey of Canada (GSC) functions for exploratory data analysis with applied geochemical data, with special application to the estimation of background ranges and identification of outliers, 'anomalies', to support mineral exploration and environmental studies.  Additional functions are provided to support analytical data QA/QC, ANOVA for investigations of field sampling and analytical variability, and utility tasks.  NOTE: function caplot() for concentration-area plots employs package 'akima', however, 'akima' is only licensed for not-for-profit use.  Therefore, not-for-profit users of 'rgr' will have to independently make package 'akima' available through library(....); and use of function caplot() by for-profit users will fail.

Robert Garrett

Applied Geochemistry EDA

crm.test.new function

A data frame with 10 observations on the following 2 variables.
 Unique identifiers are present in the data frame, use <code>dimnames(crm.test)[[1]]</code> to access or display them.<dl class="dl-horizontal">
 <dt>CRM</dt><dd>a code indicating the particular CRM simulated. A factor variable with a single level: <code>X</code>.</dd>
 <dt>Cu</dt><dd>the simulated copper determinations, mg/kg.</dd>
 </dl>

Format

Simulated National Geochemical Reconnaissance survey QA/QC data — crm.test.new

A data frame with 10 observations on the following 2 variables.
 Unique identifiers are present in the data frame, use <code>dimnames(crm.test)[[1]]</code> to access or display them.<dl class='dl-horizontal'>
 <dt>CRM</dt><dd>a code indicating the particular CRM simulated. A factor variable with a single level: <code>X</code>.</dd>
 <dt>Cu</dt><dd>the simulated copper determinations, mg/kg.</dd>
 </dl>

crm.test.new: Simulated National Geochemical Reconnaissance survey QA/QC data

Description

Usage

Arguments

Format

Details