Displaying 5 results from an estimated 5 matches for "setna".
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seta
2008 Jul 06
3
Lots of huge matrices, for-loops, speed
...9999",
skip = (5 + j), nlines = 1, nmax = cols, quiet=T)
values }
out1[k,] <- getslice (k)
}
# Regression
for (l in 1:cols)
{
y <- as.vector (out1 [,l])
if (length (y) > length (na.omit (y)))
{
setNA <- function (l) {
NAs <- rep (NA, length (out3))
NAs }
out2[l,] <- setNA (l)
}
else
{
regression <- function (l) {
model <- lm (as.formula(form))
out...
2011 Mar 30
6
Quick recode of -999 to NA in R
Hi,
I am trying to write a loop to recode my data from -999 to NA in R. What's
the most efficient way to do this? Below is what I'm presently doing, which
is inefficient. Thanks,
Chris
dat0 <- read.table("time1.dat")
colnames(dat0) <- c("e1dq", "e1arcp", "e1dev", "s1prcp", "s1nrcp", "s1ints",
2003 Oct 08
0
is.na(v)<-b (was: Re: Beginner's query - segmentation fault)
Well, that's a convincing argument, but maybe
it's the name that's worrying some of us. Maybe it would be
more intuitive if called set.na (sorry, I mean setNA).
Also "is.na<-" cannot be used to create a new variable of
NAs, so is not a universal method, which is a shame for its
advocates.
I note also that for a vector you can assign a new NA using
either TRUE or FALSE:
> a <- 1:3
> is.na(a[4])<-F
> a
[1] 1 2 3 NA
Fo...
2007 May 31
0
adehabitat version 1.6
...nt of animals
trajects within R: Some functions allow to handle the attributes or the
storage of the trajects (typeII2typeI, typeI2typeII, sett0, cutltr,
is.regular, is.sd, mindistkeep, offsetdate, set.limits), other allow to
manage missing values and test their random distribution in the traject
(setNA, summaryNAltraj, plotNAltraj, runsNAltraj), other allow a
graphical exploration of the properties of the trajects (hist.ltraj,
plot.ltraj, plotltr, sliwinltr).
* Several functions now allow to test the independence of the
descriptive parameters in the trajects (indmove and wawotest for dx, dy
and...
2007 May 31
0
adehabitat version 1.6
...nt of animals
trajects within R: Some functions allow to handle the attributes or the
storage of the trajects (typeII2typeI, typeI2typeII, sett0, cutltr,
is.regular, is.sd, mindistkeep, offsetdate, set.limits), other allow to
manage missing values and test their random distribution in the traject
(setNA, summaryNAltraj, plotNAltraj, runsNAltraj), other allow a
graphical exploration of the properties of the trajects (hist.ltraj,
plot.ltraj, plotltr, sliwinltr).
* Several functions now allow to test the independence of the
descriptive parameters in the trajects (indmove and wawotest for dx, dy
and...