Displaying 5 results from an estimated 5 matches for "myresp".
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myres
2008 Jul 01
1
Help in using PCR
Hi,
Currently I have a dataset of 2400*408. And I would like to apply PCR method
to study the any correlation between the tests.
My current data is in data.frame and I have formed horizontal(1-407) to be
the exact data, and (408) to be my results data(Yes and No)
I have also binarized these Yes and No to 1 and -1s.
However, when I refer to PCR manual on R, the example of yarn.pcr <-
2017 Dec 07
2
parallel computing with foreach()
...", "psme")
covset <- c("PEN", "Thorn")
foreach(i = 1:length(splist)) %:%
foreach(j = 1:length(covset)) %dopar% {
spname <- splist[i]; spname
myTorP <- covset[j]; myTorP
DataSpecies = data.frame(prsabs = rep(1, 10), lon = rep(30, 10), lat =
rep(80, 10))
myResp = as.numeric(DataSpecies[,1])
myRespXY = DataSpecies[, c("lon", "lat")]
# directory of a bunch of raster files specific to each R environment
rastdir <- paste0(rootdir, "Current/", myTorP); rastdir
rasterc = list.files(rastdir, pattern="\\.tif$", full.name...
2013 Mar 15
0
Poisson and negbin gamm in mgcv - overdispersion and theta
Dear R users,
I am trying to use "gamm" from package "mgcv" to model results from a mesocosm experiment. My model is of type
M1 <- gamm(Resp ~ s(Day, k=8) + s(Day, by=C, k=8) + Flow + offset(LogVol),
data=MyResp,
correlation = corAR1(form= ~ Day|Mesocosm),
family=poisson(link=log))
where the response variable is counts, offset by the log of sample volume.
Unfortunately, the residuals from the model show heteroscedasticity. While trying to follow up on this, I have run...
2017 Dec 07
0
parallel computing with foreach()
...PEN", "Thorn")
>
> foreach(i = 1:length(splist)) %:%
> foreach(j = 1:length(covset)) %dopar% {
>
> spname <- splist[i]; spname
> myTorP <- covset[j]; myTorP
>
> DataSpecies = data.frame(prsabs = rep(1, 10), lon = rep(30, 10), lat =
> rep(80, 10))
> myResp = as.numeric(DataSpecies[,1])
> myRespXY = DataSpecies[, c("lon", "lat")]
> # directory of a bunch of raster files specific to each R environment
> rastdir <- paste0(rootdir, "Current/", myTorP); rastdir
> rasterc = list.files(rastdir, pattern="\\.t...
2002 Jan 16
1
getting the response (dependent) from formula?
I'm trying to build a vector (fitting systems of equations) and I'm having a
little trouble getting the response variables from a list of formulas...
bdgmodel <- lbdg ~ d1sqr + ld1 + lhg
hgmodel <- lhg ~ ht2 + lht + whc
inst <- ~ d1sqr + ld1 + ht2 + lht + whc
systemeq <- list( bdgmodel, hgmodel )
# manually generate the y matrix...
y <- cbind( matrix( lbdg ),