Displaying 4 results from an estimated 4 matches for "resultb".
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2009 Feb 12
3
Looping multiple output values to dataframe
...(result.A, result.B, result.C) # concatenate result vectors
variables[i] <- results
}
variables <- as.data.frame(t(as.matrix(variables))) # turn result vectors
into a matrix, then transpose it and output as a data frame
# add column and row names
c.names <- c("ResultA", "ResultB", "ResultC") # set names for result vectors
colnames(variables) <- c.names
rownames(variables) <- filenames
# export to csv file
write.csv(variables, file="/Users/Desktop/Test.csv")
# ----------------------------------------END
R-CODE--------------------------------...
2007 Nov 29
1
Question about using “par”
...bothering your guys again. I am trying to use "par" to put 6
figures into 3 rows and 2 columns. My code is:
op <- par(mfrow = c(1, 2))
xyplot(x1+x2+x3 ~ y, data=resulta, type="l", pch=LETTERS[1:3], lty=c(1:3),
main="For k=3, theata1=1")
xyplot(x1+x2+x3 ~ y, data=resultb, type="l", pch=LETTERS[1:3], lty=c(1:3),
main="For k=3, theata1=5")
xyplot(x1+x2+x3 ~ y, data=resultc, type="l", pch=LETTERS[1:3], lty=c(1:3),
main="For k=5, theata1=1")
xyplot(x1+x2+x3 ~ y, data=resultd, type="l", pch=LETTERS[1:3], lty=c(1:3),
ma...
2010 Oct 13
1
(no subject)
Dear all,
I have just sent an email with my problem, but I think no one can see the red part, beacuse it is black. So, i am writing again the codes:
rm(list=ls()) #remove almost everything in the memory
set.seed(180185)
nsim <- 10
mresultx <- matrix(-99, nrow=1000, ncol=nsim)
mresultb <- matrix(-99, nrow=1000, ncol=nsim)
N <- 200
I <- 5
taus <- c(0.480:0.520)
h <- c(1:20/1000)
alpha1 <- c(1:82)
aeven1 <- alpha[2 * 1:41]
aodd1 <- alpha[-2 * 1:41]
alpha2 <- c(1:40)
aeven2 <- alpha2[2 * 1:20]
#Create an object to hold results.
M <- matrix(0, ncol=82...
2010 Oct 15
0
nomianl response model
...y codes, but the software returns an error:
"subscript out of bounds"
I dont understand exactly why this is happenning. My codes are the
following:
rm(list=ls()) #remove almost everything in the memory
set.seed(180185)
nsim <- 10
mresultx <- matrix(-99, nrow=1000, ncol=nsim)
mresultb <- matrix(-99, nrow=1000, ncol=nsim)
N <- 200
I <- 5
taus <- c(0.480:0.520)
h <- c(1:20/1000)
codd <-
c(1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,5
3,55,57,59,61,63,65,67,69,71,73,75,77,79,81)
ceven <-
c(2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32...