Hello
On Fri, Apr 6, 2012 at 10:35 AM, Jhope <jeanwaij...@gmail.com> wrote:
> 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.
>
For starters, boxplots do not display means but medians. [1]
[1] http://en.wikipedia.org/wiki/Boxplot
> 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
>
Just guessing, perhaps it is due to some missing values.
Regards
Liviu
> 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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