citrus: Meta-analysis dataset: estimation the effectiveness of a...

In KenSyn: Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis

Description

The data set consists of the data collected from litterature for a meta-analysis. It contains the results of 16 trials conducted in different orchards located in different regions around the world. Each trial has two treatments: an untreated part (the control, X = Fung_Gp = 0) and a part treated with a fungicide (X = Fung_Gp = 1). In each treatment, 300 to 2000 fruits were observed, and the number of diseased fruits was counted.

Usage

organic

Format

a RangedData instance, 1 row per measurement. NbFruits : number of fruits observed, NbDiseasedF : number of diseased fruits, Code : code of the experiment, Fung_Gp : treatment (1: fungicid, 0: control)

Source

Makowski D., Vicent A., Pautasso M., Stancanelli G., Rafoss T. 2014. Comparison of statistical models in a meta-analysis of fungicide treatments for the control of citrus black spot caused by Phyllosticta citricarpa. European journal of plant pathology 139, 79-94

Examples

summary(citrus)
citrus$P_C<-citrus$NbDiseasedF[citrus$Fung_Gp==0]/citrus$NbFruits[citrus$Fung_Gp==0]
citrus$P_E<-citrus$NbDiseasedF[citrus$Fung_Gp==1]/citrus$NbFruits[citrus$Fung_Gp==1]
citrus=citrus[order(citrus$P_E),]
dotchart(citrus$P_E, xlab="Proportion of disease fruits",xlim=c(0,1),pch=19, ylab="experiment")
points(citrus$P_C,1:nrow(citrus))
legend("topleft",legend = c("treated", "control"),pch=c(19,1))

Example output

    NbFruits       NbDiseasedF          Code              Fung_Gp   
 Min.   : 300.0   Min.   :   0.00   Length:32          Min.   :0.0  
 1st Qu.: 500.0   1st Qu.:  26.25   Class :character   1st Qu.:0.0  
 Median : 500.0   Median : 260.50   Mode  :character   Median :0.5  
 Mean   : 782.5   Mean   : 365.69                      Mean   :0.5  
 3rd Qu.:1110.0   3rd Qu.: 436.75                      3rd Qu.:1.0  
 Max.   :2000.0   Max.   :1798.00                      Max.   :1.0  

KenSyn documentation built on May 2, 2019, 2:40 a.m.