Question: I get only 'NA' values into my loop - Need to find mean of max CR_Art per Experiment per Mussel
gravatar for jeff.roemer
3.9 years ago by
jeff.roemer0 wrote:

Importing datafile "Raadata.csv" (Headers: Treatment, Mussel, Experiment, Interval, CR_Art, CR_Rho, CHR_Art, FR_C_Art , CHR_Rho, FR_C_Rho). Some fields are empty. Not all treatments have values in all columns. read.csv2 is used because of European standards, I have to convert comma to dot:

Max_CR_FR <- read.csv2(file="Raadata.csv", header=T, sep=";",skipNul=TRUE)

Grouping data by Mussel & Experiment:

Max_CR_FR$Group= factor(paste(Max_CR_FR$Mussel, Max_CR_FR$Experiment))

Selecting on treatment and de-selecting CR_Art with NA:

Art=subset(Max_CR_FR, Treatment=="Artemia" & !$CR_Art))

Everything works fine until here at least.

Calculating the mean of maximum values of CR_Art for each group:

Exp_max=tapply(Data$CR_Art, Data$Group, max, na.rm=TRUE)


for(i in 1:1000) boots[[i]]=Art[,replace=TRUE) ,]
means= lapply( boots, F)
meanstab =,means)

Confidence interval:

R • 1.2k views
ADD COMMENTlink modified 3.7 years ago by Biostar ♦♦ 20 • written 3.9 years ago by jeff.roemer0

Show head of your original csv data.

ADD REPLYlink modified 3.9 years ago • written 3.9 years ago by PoGibas4.8k
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