Displaying 5 results from an estimated 5 matches for "nacount".
Did you mean:
acount
2006 May 20
1
merge problem... extra lines appear in the presence of NAs
Good morning!
I've searched the docs etc... Am I doing something wrong or is this a bug?
I'm doing a merge of two dataframes and getting extra rows in the
resulting dataframe - the dataframes being merged might have NAs...
count <- 10
nacount <- 3
a1 <- as.data.frame(as.Date("2005-06-01")+0:(count-1))
names(a1) <- "mdate"
a1$value <- runif(count)
a1[floor(runif(nacount)*count),]$value <- NA
a2 <- as.data.frame(as.Date("2005-06-01")+0:(count-1))
names(a2) <- "mdate"
a2$value2...
2006 Mar 08
1
info() function?
I would like to have some function for getting an overview of the
variables in a worksheet. Class, dimesions, length, number of missing
values,... Guess it wouldn't be that hard to set up such a function, but I
guess there are others who have made it already. Or is it already a
standard feature in the base package? Any suggestions?
Robert
2010 Jan 15
2
How to delete matrix rows based on NA frequency?
Hi all,
I would like to remove rows from a matrix, based on the frequency of missing values. If there are more than 10 % missing values, the row should be deleted.
I use the following to calculate the frequencies, thereby getting a new matrix with the frequencies:
freqNA=rowMeans(is.na(exprdata))
But is there a shorter way to remove the rows based on "(1-freqNA)>0.1"
2006 May 22
1
win2k memory problem with merge()'ing repeatedly (long email)
...39;ve been trying to pin down this problem for two weeks
and I just gave up...
The following works fine as I'd expect with minimal memory usage...
for (i in 3:67) {
datelist <- as.Date(start.date)+0:(count-1)
#remove a couple of elements...
datelist <- datelist[-(floor(runif(nacount)*count))]
a2 <- as.data.frame(datelist)
names(a2) <- "mdate"
vname <- paste("value", i, sep="")
a2[vname] <- runif(length(datelist))
#a2[floor(runif(nacount)*count), vname] <- NA
# atot <- merge(atot,a2,all=T)
i <- 2...
2006 Mar 08
0
survival
...list 2 488
5 object function NULL 864
6 row character 1 72
7 USArrests data.frame c(50,4) 4076
8 VADeaths matrix c(5,4) 824
9 value character 1 72
with NA counts:
>naCount <- function(x, ...) ifelse(is.vector(x), sum(is.na(x)), NA)
>properties <- c("data.class", "dimension", "object.size", "naCount")
ll(properties=properties)
member data.class dimension object.size
1 a numeric 1000 4...