similar to: Conditional data frame manipulation

I''m new to rspec and looking for way to test a validation I added to a model. The test checks to see that if field1 has a value then field2 must be nil and vice versa. ------------------------------- When I did the rspec_scaffold it generated one test which worked before :each do @valid_attributes = { :field1 = "value for field1" :field2 = "value for

Hi - I have 3 fileds a user can fill out. They can fill out 2 of them or just one of them, for example. fill out these 2 fields: Field1 and Field2 Or fill out this field: Field3 In my model how do I use validates_presence_of for Field1 and Field2 or just Field3. I want to do something like this: validates_presence_of Field1, Field2 OR validates_presence_of Field3 So the user can fill out

Hi, How can I use a substring match as a condition in a subset command? Sth like this: subset(input, field1=="blah1" & field2=="blah2") # but now with substring match in field2 subset(input, field1=="blah1" & field3 *substringmatch* "blah3") I've tried with gsub, but it won't work: subset(input, field1=="blah1" &

I want to add virtual fields in a model. table: field1 field2 I want to add field3 which is field1*2 + field2 I know tihs can be achieved in View, but I want it in model. Then I will pass this model to PagerRenderer to paginate. How to achieve this? thanks -- Posted via http://www.ruby-forum.com/.

Hello, I wanted to parse some information from a text, where fields are tab separated. When I copy the text into an R session (under emacs) like: mystring <- "field1 field2 field3" the tab character is replaced by a single space! For ex, if I type mystring, I get: "field1 field2 field3" The tabs have disappeared!!! I checked with Python that the text I copied was tab

I believe that I may have found a bug in R. The top code sample gives an error as shown. However, by simply switching which field is initialized first as in the bottom code sample, it works as expected. This gives an error: a <- NULL a[["field1"]] <- 1 a[["field2"]] <- matrix(c(2,1), 1) Error in a[["field2"]] <- matrix(c(2, 1), 1) : more elements

Hi, The following [simplified] query works well, however a variation which includes parenthesis seems to fail, in that it returns hits which should be excluded by the NOT term. This is surprising because in this simple case, the parenthesis shouldn''t change the Boolean evaluation ... any pointers? Working Query: field1:value1 AND NOT field2:value2 Failing Query: field1:value1 AND

hello everyone, i'm new to R, so i hope you dont mind a fairly basic R question. we're using R to manipulate the results of SQL queries and create an HTML output. I'm starting with a table that looks essentially like this: Name Field1 Field2 John value1 value2 Jane value3 value4 My table is stored as a dataframe. I'd like to efficiently produce an

Hello everyone, I've been advised to use merge to extract information from two data.frames with a number of common columns, but I cannot get a grasp on how it sorts the result. With sort=FALSE, I would expect it to give the result back sorted exactly as the input was but it seems it is not always the case, especially when there are repeats in the input. For example: > a =

Say I have a csv file, each row contains several fields, one of them are whether the row is success. In history data, I have all the fields including the result of whether it is success. In future data, I only have fields without the result. For example: history data: Field1 Field2 Field3 Field4 ResultField 1231 CA TRUE 443 TRUE 23231 NC TRUE 123 FALSE

Hi, I am investigating a poor code generation on x86-64 involving a 64-bits structure with two 32-bits fields (in the attached examples float, but similar behavior is exposed with i32, and we can probably generalize that to smaller types too). The root cause of the problem is in SROA, although I am not sure we should fix something there. That is why I need your advices. ** Problem ** 64-bits

Hi, Any ideas on how to efficiently convert > list(c(1,2,3),c(4,5,6)) to > data.frame(OriginalListIndex=c(1,1,1,2,2,2),Item=c(1,2,3,4,5,6)) Thanks for any hints, Joh

Hi, Is there such a thing? If no: is it easily simulated? thanks, Joh

Why is class(spectrum[["Ion"]]) after this "factor"? spectrum <- cbind(spectrum,Ion=rep("", nrow(spectrum)),Deviation.AMU=rep(0.0, nrow(spectrum))) slowly going crazy ... Joh

On Fri, Aug 9, 2013 at 4:58 PM, Quentin Colombet <qcolombet at apple.com> wrote: > Hi, > > I am investigating a poor code generation on x86-64 involving a 64-bits > structure with two 32-bits fields (in the attached examples float, but > similar behavior is exposed with i32, and we can probably generalize that to > smaller types too). > The root cause of the problem is

>From: Johannes Graumann <johannes_graumann at web.de> >Date: 2007/12/18 Tue PM 04:40:37 CST >To: r-help at stat.math.ethz.ch >Subject: [R] All anchored series from a vector? lapply(1:length(myvector) function(.length) { c(myvector[1}:myvector[.length]) }) but test it because i didn't. >Hi all, > >What may be a smart, efficient way to get the following result:

Hi Eli, Thanks for the feedbacks. On Aug 9, 2013, at 8:00 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > On Fri, Aug 9, 2013 at 4:58 PM, Quentin Colombet <qcolombet at apple.com> wrote: >> Hi, >> >> I am investigating a poor code generation on x86-64 involving a 64-bits >> structure with two 32-bits fields (in the attached examples float, but

Dear all, Can anyone please shed some light onto how to do this? This will give me all "intensity" columsn in my data frame: intensityindeces <- grep("^Intensity",names(dataframe),value=TRUE) This will give me the maximum intensity for the first row: intensityone <- max(dataframe[1,intensityindeces]) What I'm now looking for is how to dfo this for the whole data

On Mon, Aug 12, 2013 at 9:59 AM, Quentin Colombet <qcolombet at apple.com> wrote: > Hi Eli, > > Thanks for the feedbacks. > > On Aug 9, 2013, at 8:00 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > > On Fri, Aug 9, 2013 at 4:58 PM, Quentin Colombet <qcolombet at apple.com> > wrote: > > Hi, > > I am investigating a poor code generation on

Hello, Banging my head against a wall here ... can anyone light the way to a pattern modification that would make the following TRUE? identical( grep( "^Intensity\\s[^HL]", c("Intensity","Intensity L", "Intensity H", "Intensity Rep1")), as.integer(c(1,4))) Thank you for your time. Sincerely, Joh