agricolae (version 1.0-1)

audpc.abs: Calculates the absolute AUDPC of a table

Description

Area under the curve of the progress of the disease. The AUDPC measures the disease throughout a period. The AUDPC is the area that is determined by the sum of trapezes under the curve.

Usage

audpc.abs(evaluation, dates)

Arguments

evaluation

Table of data of the evaluations: Data frame

dates

Vector of dates corresponding to each evaluation

Value

• evaluation
  data frame
• dates
  a numeric vector

Details

AUDPC. For the illustration one considers three evaluations (14, 21 and 28 days) and percentage of damage in the plant 40, 80 and 90 (interval between dates of evaluation 7 days). AUDPC = 1045. The evaluations can be at different interval.

References

Campbell, C. L., L. V. Madden. (1990): Introduction to Plant Disease Epidemiology. John Wiley & Sons, New York City.

See Also

audpc.rel

Examples

library(agricolae)
dates<-c(14,21,28)
evaluation<-data.frame(E1=40,E2=80,E3=90)
# It calculates audpc absolute
audpc<-audpc.abs(evaluation,dates)
print(audpc)
rm(evaluation, dates, audpc)
# Another case
data(disease)
attach(disease)
dates<-c(1,2,3)
evaluation<-disease[,c(4,5,6)]
# It calculates audpc absolute
audpc<-audpc.abs(evaluation, dates)
# datos para analisis
data2<-data.frame(disease, audpc=audpc)
# Correlation between the yield and audpc
attach(data2)
cor.vector(yield, audpc, method="kendall")