[R] R generated means are different from the boxplot!

Liviu Andronic landronimirc at gmail.com
Fri Apr 6 13:53:19 CEST 2012


Hello

On Fri, Apr 6, 2012 at 10:35 AM, Jhope <jeanwaijang at 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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> Sent from the R help mailing list archive at Nabble.com.
>
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