pie1: Example data for rkt function

Description Usage Format Details Source Examples

Description

Bulk open field deposition collected in Val Sessera (Italy) in 1998-2010, volume weighted monthly averages.

Usage

1

Format

A data frame with 156 observations on the following 5 variables.

Year

sampling year

Month

sampling month

mm

amount of precipitation (mm)

SO4

sulphate concentration (mg/L)

NO3

nitate concentration (mg N/L)

Details

SO4 shows a highly significant decreasing trend, NO3 shows a moderately significant decreasing trend and mm no significant trend

Source

Marchetto A., Rogora M. & Arisci S. 2013 Trend analysis of atmospheric deposition data: a comparison of statistical approaches. Atmospheric Environment 64, 95-102

Rogora M., Mosello R., Arisci S., Brizzio M., Barbieri A., Balestrini R., Waldner P., Schmitt M., Stahli M.,Thimonier A., Kalina M., Puxbaum H., Nickus U., Ulrich E., Probst A. 2006 An overview of atmospheric deposition chemistry over the Alps: Present status and long-term trends. Hydrobiologia 562, 17–40

Examples

1
2
data(pie1)
rkt(pie1$Year,pie1$SO4,pie1$Month,pie1$mm,TRUE)

Example output

Standard model
Tau = -0.3963554
Score =  -348
var(Score) =  2958.667
2-sided p-value =  1.777556e-10
Theil-Sen's (MK) or seasonal/regional Kendall (SKT/RKT) slope=  -0.09266667

Correction for inter-block covariance
var(Score) =  14495.33
2-sided p-value =  0.003949817

Partial model
Partial score =  -325.6001
var(Partial score) =  2532.056
2-sided p-value =  1.112785e-10

Correction for inter-block covariance
var(Score) =  8793.304
2-sided p-value =  0.0005370432

rkt documentation built on March 29, 2021, 5:11 p.m.