waterquality: Water quality data in Wyoming, USA

In rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data

Water quality data in Wyoming, USA

Description

Water quality data for three years of seasonal compositional groundwater chemistry data for 14 wells at a study site in Wyoming, USA. Routine water quality monitoring typically involves measurement of J parameters and constituents measured at I number of static locations at K sets of seasonal occurrences.

Usage

data("waterquality")

Format

A three-way array with dimension 14x12x10. The first dimension refers to 14 wells at a study site in Wyoming, USA. The second dimension refers to the ten most reactive and indicative dissolved constituents at the site: B, Ba, Ca, Cl, K, Mg, Na, Si, Sr, and SO4. In addition, the concentration of water in each sample was calculated. The third dimension refers to the time of collection - ten occasions.

References

Engle, M.A., Gallo, M., Schroeder, K.T., Geboy, N.J., Zupancic, J.W., (2014). Three-way compositional analysis of water quality monitoring data. Environmental and Ecological Statistics, 21(3):565-581.

Examples

data(waterquality)
dim(waterquality)               # [1] 14 12 10
dim(waterquality[,,1])          # [1] 14 12
rownames(waterquality[,,1])     # the 14 wells
colnames(waterquality[,,1])     # the 12 chemical compositions
dim(waterquality[,1,])          # [1] 14 10
colnames(waterquality[,1,])     # the ten occasions

(res <- Tucker3(waterquality, robust=FALSE, coda.transform="ilr"))

## Distance-distance plot
plot(res, which="dd", main="Distance-distance plot")
## Paired component plot, mode A
plot(res, which="comp", main="Paired component plot (mode A)")

## Paired component plot, mode B
plot(res, which="comp", mode="B", main="Paired component plot (mode B)") 

## Joint biplot
plot(res, which="jbplot", main="Joint biplot") 

## Trajectory
plot(res, which="tjplot", main="Trajectory biplot") 

rrcov3way documentation built on July 9, 2023, 7:44 p.m.