search for: coersion

i've written a function to coerce a matrix (e.g. from numeric to logical), but i'd like to know if someone has a more elegant method for this: > m <- matrix(c(0, 1, 1, 0), ncol = 2) > m <- as.logical(m) > m [1] FALSE TRUE TRUE FALSE i'd like 'm' to still be a matrix with the original dimensions. in my function to do this, i coerce 'm' to a logical,

Hello, I am having trouble understanding how R is coercing between matrices and lists in the following example. I have an aggregate behavior I like: aggregate(a[,"num"],by=list(product=a[,"product"],region=a[,"region"]), sum) Now in reality I have more columns than just product and region, and need to pick different combinations. So I want to abstract this into a

Yesterday I was biten by a feature, which I find too dangerous. I wanted to use a factor `Subject?? as index into a data frame, whose row names were the levels of this factor. So there a 2 different possible interpretations of this: Either Subject is coerced to numeric or to character. The intended interpretation was, of course, `as.character(Subject)'. R did `as.numeric(Subject)??. This will

...ta.frame(var = LETTERS[1:3]) > x$var <- as.character(x$var) > x var 1 A 2 B 3 C > is.character(x$var) [1] TRUE > is.na(x[[1]]) <- 2 > x var 1 A 2 <NA> 3 C > is.character(x$var) [1] FALSE > is.factor(x$var) [1] TRUE > Interestingly enough, this coersion does not occur if you refer to x$var instead of x[[1]]. > x <- data.frame(var = LETTERS[1:3]) > x$var <- as.character(x$var) > is.na(x$var) <- 2 > x var 1 A 2 <NA> 3 C > is.character(x$var) [1] TRUE > is.factor(x$var) [1] FALSE > I could (ort of) im...

Hello folks, I found a strangeness while experimenting with POSIXct vectors and lists. It seems that coerced NA's aren't "real" NAs, at least as considered by is.na()? > date_vec = c(as.POSIXct(now()), as.POSIXct(now()+1),NA,"b") > date_vec [1] "2012-08-22 15:00:46 COT" "2012-08-22 15:00:47 COT" NA [4] NA Warning message: In

...> 2 B > 3 C > > is.character(x$var) > [1] TRUE > > is.na(x[[1]]) <- 2 > > x > var > 1 A > 2 <NA> > 3 C > > is.character(x$var) > [1] FALSE > > is.factor(x$var) > [1] TRUE > > > > Interestingly enough, this coersion does not occur if you refer to x$var > instead of x[[1]]. > > > x <- data.frame(var = LETTERS[1:3]) > > x$var <- as.character(x$var) > > is.na(x$var) <- 2 > > x > var > 1 A > 2 <NA> > 3 C > > is.character(x$var) > [1] TRUE...

Hi R-Experts, I'm currently using R 2.4.0 in Windows XP. I'm trying to download data from Bloomberg using the package "RBloomberg", but it fails to install the three needed packages "zoo", "chron" and 'Rbloomberg". Moreover I am not able to find "RBloomberg" package as windows binary in CRAN site as only for MAC it's given. Please

I have a SQL Server column named StartTime of (SQL Server) type datetime If I attempt to set the attribute using public def StartTime=(time) write_attribute(:StartTime, "{ts ''1899-12-30 #{time.hour}:#{time.min}:#{time.sec}''}") end it''s inserting a NULL value. Anyone else able to successfully insert a date time value into a SQL Server table using

(I dithered a bit about whether this belongs on r-help (as part of it is a general R question) or r-devel (as it's a question relating to putting stuff on CRAN) but decided it might be of general enough interest to go on the former ) I am currently preparing an R library to estimate approximate posterior distributions for parameters in Generalised Linear Mixed Models by Gibbs Sampling

HI, Dear R community, I have one data set like this, What I want to do is to calculate the cumulative coverage. The following codes works for small data set (#rows = 100), but when feed the whole data set, it still running after 24 hours. Can someone give some suggestions for long vector? id reads Contig79:1 4 Contig79:2 8 Contig79:3 13 Contig79:4 14 Contig79:5 17