Hi Arun,
Thanks a lot for your script. Ill work on it tomorrow.
Cheers
On 24/04/2014, at 11:54 AM, "arun kirshna [via R]"
wrote:
> HI,
> I guess you got an output like this using my script:
> ##Please use ?dput() to show the example data.
>
> FA <- structure(list(Sample = c("L1 Control",
Hi Arun,
Your script works but it does not do what I was after. To be a bit more
specific, this the table FA in which Im working on ( but the original one
has 34 fatty acids instead of 3: C14.0, C15.0, and C15.1).
SampleC14:0C15:0C15:1
L1 Control0.4565091920.4695626870.774909216
L1 Control0.51398
HI,
I guess you got an output like this using my script:
##Please use ?dput() to show the example data.
FA <- structure(list(Sample = c("L1 Control", "L1 Control", "L1 Control",
"BBM Control", "BBM Control", "BBM Control", "L1 Ash", "L1 Ash",
"L1 Ash", "BBM Ash", "BBM Ash", "BBM Ash"), C14.0 = c
Thank you Arun for your quick answer.
Ill try it and ill let you know.
Cheers
On 21/04/2014, at 11:30 PM, "arun kirshna [via R]"
wrote:
> Hi,
>
> Using the example data from library(gvlma)
>
> library(gvlma)
> data(CarMileageData)
> CarMileageNew <- CarMileageData[,c(5,6,3)]
> lst1 <-
Hi,
Using the example data from library(gvlma)
library(gvlma)
data(CarMileageData)
CarMileageNew <- CarMileageData[,c(5,6,3)]
lst1 <- list()
y <- c("NumGallons", "NumDaysBetw")
for(i in seq_along(y)){
lst1[[i]] <- gvlma(lm(get(y[i])~MilesLastFill,data=CarMileageNew))
lst1}
pdf("gvlmaplot.pdf
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