TSSS {AQuality}R Documentation

Total Soluble Solids Summation

Description

Plot total soluble solids summation as a function of total soluble solids measurement.

Usage

TSSS(sample, data, conflevel = 0.95, pchdata = 19, coldata = "green", cexdata = 0.5, 
pchsample = 19, colsample = "red", cexsample = 3, xaxis = "TOTAL SOLUBLE SOLIDS", 
yaxis = "MASS SUMMATION", title = paste("Sample ", as.character(sample)), 
linetyprediction = 2, linewidthprediction = 1, linecolorprediction = 5)

Arguments

sample

Code of the sample whose quality you want to know.

data

Data.frame containing code of the database samples, total soluble solids, measurements of other water components.

conflevel

Significance level used in the predict function.

pchdata

Symbol used to graph all the data in the data.frame.

coldata

Color of the symbols of all the data in the data.frame.

cexdata

Symbol size of all data in the data frame.

pchsample

Symbol chosen to represent the point whose measurement quality is to be represented.

colsample

Color chosen to represent the point whose measurement quality is to be represented.

cexsample

Size of the symbol chosen to represent the point whose measurement quality is to be represented.

xaxis

X axis label.

yaxis

Y axis label.

title

Title of the graph including the code of the chosen sample.

linetyprediction

Linear model prediction line type.

linewidthprediction

Linear model prediction line thickness.

linecolorprediction

Linear model prediction line color.

Details

The TSSS() function performs a linear model using column 2 (total soluble solids) as the dependent variable and the other components of water as independent variables (columns 3 onwards). Based on the linear model, a data prediction interval is obtained with a certain confidence level (conflevel). Then, TSSS() graphs the values of the entire database and finally graphs as a point with different color, the sample whose measurement quality you want to observe.

Value

The TSSS() function returns a graph of the sum of soluble solids as a function of the measurement of total soluble solids for each sample. It contains the confidence interval and the sample under observation indicated in a dotted line. If the point that represents the sample is within the region delimited by the lines of the confidence interval, it is presumed that there were no serious measurement errors of the components analyzed.

Author(s)

Maela Lupo, Andrea Porpatto, Alfredo Rigalli


[Package AQuality version 1.0 Index]