Hi R-listers,
1) I am having trouble understanding why the means I have calculated from
Aeventexhumed (A, B, and C) are different from the means showing on the
boxplot I generated (see attached). I have added the script as to how my
data is organized.
2) Also when I went through the data manually the means I calculated for
each nesting event are slightly different than what I generated through R
(see below).
A, B, C
0.2155051, 0.1288241, 0.1124618
Thanks in advance,
Jean
-----------------------------------------------
> require(plyr)
Loading required package: plyr
> resp <- read.csv(file.choose())
> envir <- read.csv(file.choose())
> resp <- resp[!is.na(resp$Aeventexhumed), ]
> resp$QuadratEvent <- paste(resp$QuadratID, resp$Aeventexhumed, sep="")
> resp$QuadratEvent <- as.character(resp$QuadratEvent)
> envir <- envir[!is.na(envir$Aeventexhumed), ]
> envir$QuadratEvent <- paste(envir$QuadratID, envir$Aeventexhumed, sep="")
> envir$QuadratEvent <- as.character(envir$QuadratEvent)
> ExDate <- Sector <- Quadrat <- Aeventexhumed <- NULL
> ST1 <- ST2 <- ST3 <- ST4 <- ST0 <- NULL
> Shells <- Hatchlings <- MaxHatch <- DeadHatch <- NULL
> Oldeggs <- TotalEggs <- QuadratEvent <- NULL
> for (q in unique(as.character(resp$QuadratEvent))) {
+ s <- resp[as.character(resp$QuadratEvent) == q, ]
+ ExDate <- c(ExDate, as.character(s$ExDate[1]))
+ Sector <- c(Sector, as.character(s$Sector[1]))
+ Quadrat <- c(Quadrat, as.character(s$Quadrat[1]))
+ Aeventexhumed <- as.character(c(Aeventexhumed,
as.character(s$Aeventexhumed[1])))
+ QuadratEvent<- c(QuadratEvent, q)
+ ST1 <- c(ST1, sum(s$ST1, na.rm=TRUE))
+ ST2 <- c(ST2, sum(s$ST2, na.rm=TRUE))
+ ST3 <- c(ST3, sum(s$ST3, na.rm=TRUE))
+ ST4 <- c(ST4, sum(s$ST4, na.rm=TRUE))
+ ST0 <- c(ST0, sum(s$ST0, na.rm=TRUE))
+ Shells <- c(Shells, sum(s$Shells, na.rm=TRUE))
+ Hatchlings <- c(Hatchlings, sum(s$Hatchlings, na.rm=TRUE))
+ MaxHatch <- c(MaxHatch, sum(s$MaxHatch, na.rm=TRUE))
+ DeadHatch <- c(DeadHatch, sum(s$DeadHatch, na.rm=TRUE))
+ Oldeggs <- c(Oldeggs, sum(s$Oldeggs, na.rm=TRUE))
+ TotalEggs <- c(TotalEggs, sum(s$TotalEggs, na.rm=TRUE))
+ }
> responses <- data.frame(QuadratEvent, ExDate, Sector, Quadrat,
+ Aeventexhumed, ST0, ST1, ST2, ST3, ST4, Shells,
+ Hatchlings, MaxHatch, DeadHatch, Oldeggs,
+ TotalEggs, stringsAsFactors=FALSE)
> responses$QuadratEvent <- as.character(responses$QuadratEvent)
> data.to.analyze <- join(responses, envir, by="QuadratEvent")
> data.to.analyze$NotHatched <- data.to.analyze$TotalEggs -
> data.to.analyze$Shells
> data.to.analyze$Rayos <- paste("Rayos", data.to.analyze$Rayos, sep=".")
> Hsuccess <- Shells/TotalEggs
> tapply(Hsuccess, Aeventexhumed, mean, na.rm=TRUE)
A B C
0.2156265 0.1288559 0.1124327
> boxplot(HSuccess ~ Aeventexhumed, data = data.to.analyze, col = "blue",
+ main = "Hatching Success of Arribadas in 2010",
+ xlab = "Arribada Event",
+ ylab = "Hatching Success % (Shells / Total Eggs)")
http://r.789695.n4.nabble.com/file/n4536926/hatch_Aeventexhumed.png
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