similar to: Summary of Characters vectors, NA's and "" in merges

I often use merge with dataframes that contain character vectors which have elements that are sometimes "NA" (meaning the string NA, not the same thing, obviously, as NA in a numeric or factor vector). For example, the stock ticker for Nabisco was "NA". Unfortunately (for me), it seems like merge insists on inserting "NA" for missing values. My question: Is there some

Hello, R-devel! I posted to R-help, and (inappropriately) to R-bugs, this R/S-Plus difference: > LETTERS[c(NA,2)] in S is c("","B"), but in R is c("NA","B") Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> wrote: > I think we do not want to change this. ... > R> is.na(LETTERS[c(NA,2)]) [1] TRUE FALSE > so we really have NA but it is

If the following two conditions are met: 1) all.x is TRUE 2) at least 1 row in y does not have a match in x then any character vectors in y will be coerced to be factors. Here is a simple example (previously provided on r-devel): > x <- data.frame(a = 1:4) > y <- data.frame(b = LETTERS[1:3]) > y$b <- as.character(y$b) > z <- merge(x, y, by = 0, all.x = TRUE) > z

I have a column in a data frame that has a class of "Date" and a mode of "numeric". When I: max(df$Date) My output stays in Date format, i.e. "2006-01-03". However, when I run the following statment: tapply(df$Date, df$SomeFactor, max) my output looks like this: 9129 9493 9861 10226 10591 10956 11320 11687 12052 12417 The returned object is of

With my iMap client, I use various mail rules to move specific email to the right mail folders. Downside of that is that is this mailclient is not online, all email is stuck in my inbox, which makes reading email by mobile phone kind of chaotic. I have seen several Pigeonhole Sieve examples, but I would like to know if there is a nub solution (I am not a programmer) to run filters when they

This issue comes up time and time again on the mailing list and internet. I have yet to see a single answer. How do you get windows to access a share with as a guest? The situation is pretty simple: - A samba share exists for which there are guest logins available However this share is inaccessible to windows users because: - Windows by default tries to login to a share with its current

Hi, I''m a nub in dtrace, could you please help me to find the mistake? I need to implement the logic: - if PID and TID are defined, fire the probe for the particular thread of particular process; - if only PID is defined, fire the probe for the process including all threads. The predicat [i]syscall:::entry / (pid == PID && tid == TID )[/i] / works ok and return syscall for

On Wed, 2 Nov 2016, Stuart Henderson wrote: > On 2016-11-02, Jakub Jelen <jjelen at redhat.com> wrote: > > The current set of patches are rebased on current upstream is attached > > with few more tweaks needed to build, pass testsuite and make it work. > > The upstream review and insight would be helpful. > > Since these are going to break things with LibreSSL,

Just to toss in my very limited experiences with the Grandstream phone-- I haven't tested it enough to really know nor is my Asterisk config set up enough to fully try all the features. Mostly, it just works. It was very easy to configure and get running. I've been toting it around to clients as a show and tell exhibit and it has helped get people excited about the possibilities. Voice

I understand that NA's in character vectors are displayed differently than NA's in factor vectors. > c("x", NA, "y") [1] "x" NA "y" > as.factor(c("x", NA, "y")) [1] x <NA> y Levels: x y That seems sensible enough. But shouldn't I see the same behavior in a dataframe? > test <- data.frame(a =

Thanks to Brian Ripley for suggesting, to my previous post about a problem with merge, that I trace through merge.data.frame. I did so with my test case and all seemed to be well until I got to: if (all.x) for (i in seq(along = y)) is.na(y[[i]]) <- (lxy + 1):(lxy + nxx) I believe that this code sets observations in y (which has been expanded to be the

Consider > summary(1:5) Min. 1st Qu. Median Mean 3rd Qu. Max. 1 2 3 3 4 5 > summary(c(1:5,NA)) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 1 2 3 3 4 5 1 Wouldn't it be more stringent if "NA's" was also reported in the first case?? Regards S?ren

Hi, I have a set of 30 binary variables measuring side effects after drug treatment. Since each subject can have multiple side effects, I want to display these side effects in a multiple choice table. I'm using the summary and mChoice functions of the Hmisc package, because it produces nicely formatted latex tables. My problem is, that table includes a category for people who have at

Hi, I''m trying to get my head around rails, but the documentation seems sparse at best (and manuals.rubyonrails.com is unreachable from my location for whatever reason). I''m trying to figure out a few things: 1) The documentation for the magicfields mentions using datetimes instead of timestamps, which pgsql doesn''t appear to support. What''s the answer in this

List, I am trying to extract summary statistics from a data frame with several variables (and NAs) into a dataframe with the columns: Variablename (ie the colnames of original data), mean, stdev, max, min, Valid N, Missing Values. Extracting the statistics is straightforward using stack and aggregate. However, I haven''t succeeded in obtaining the number of Missing Values. I can extract

I'm using kubuntu 8.04 and I'm able to run three programs that I installed but another user can't. Is there any way to make .wine available for all users? I thought about copying .wine to wine in /usr/lib/wine or /usr/bin/wine.

Hi list! An operation that I often need is splicing two vectors: > splice(1:3, 4:6) [1] 1 4 2 5 3 6 For numeric vectors I use this hack: splice <- function(x, y) { xy <- cbind(x, y) xy <- t(xy) dim(xy) <- length(x) * 2 return(xy) } So far, so good (?). But I also need splicing for factors and I tried this: splice <- function(x, y) { xy <-

Hi all, Based upon an exchange with G?ran Brostr?m on R-Help today: https://stat.ethz.ch/pipermail/r-help/2016-February/435992.html there appears to be a bug in summary.data.frame() in the case where a data frame contains Date class columns that contain NA's and other columns, if present, do not. Example, modified from R-Help: x <- c(18000000, 18810924, 19091227, 19027233, 19310526,

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Hello all. I have the following code in a partial. It''s purpose is to create a dropdown box with a bunch of values in it for display purposes only. (@bugsheet is an instance variable being used by the partial) <%= select("bugclientlink", "bug_id", Bugclientlink.listclients(@bugsheet.id)) Given the fact that Bugclientlink class contains: def self.listclients(