similar to: str(data.frame) after subsetting reflects original structure, not subsetted structure?

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Dear list, subset has a 'drop' argument that I had often mistaken for the one in [.factor which removes unused levels. Clearly it doesn't work that way, as shown below, d <- data.frame(x = factor(letters[1:15]), y = factor(LETTERS[1:3])) s <- subset(d, y=="A", drop=TRUE) str(s) 'data.frame': 5 obs. of 2 variables: $ x: Factor w/ 15 levels

Hi! I'm doing: etni <- subset(etni, NAMECOM!="Maniquisito") where etni is a data.frame, NAMECOM a factor and "Maniquisito" labels a row that I want to delete. The problem is that while the row is deleted, the factor level is still there (I can see "Maniquisito" if I do levels(etni$NAMECOM) ). I know I can get the appropriate levels by:

Hi! I have the following problem that I beleive is a bug: I have a dataframe with one categorical and one numerical vector. The categorical vector has three levels (uc, up and vc). A plot of the vectors with the categorical vector on the x-axis gives a boxplot with three boxes - exactly as expected. If I then use the subset function to make a dataset that only includes two of the levels of

Consider this data structure (df1) ... Group Year PctProf FullYr 1 Never RF 2004 87 88 2 Cohort 1 2004 83 84 3 Cohort 2 2004 84 86 4 Cohort 3 2004 87 87 5 Cohort 4 2004 73 74 6 Never RF 2005 85 86 7 Cohort 1 2005 81 82 8 Cohort 2 2005 81 81 9 Cohort 3 2005 78 79 10 Cohort 4 2005 72 74 11

Hi all, I am struggling to work out how to use the rownames from an edited dataframe rather than the row names from the original dataframe. In my data set i'm trying to extract several rows of data on particular individuals, i don't doubt i'm using the long way round but what i have in the way of a script is this: ##selecting the IDs from the dataframe individually

Gurus: I keep seeing other people?s code that contain ideas like If (x == 2L) X[-1L] X - 1L I have some idea of what?s going on, but where is the use of concepts like ?2L? documented? Thanks, Bryan ************* Bryan Hanson Acting Chair Professor of Chemistry & Biochemistry DePauw University, Greencastle IN USA

I think I more or less understand what a ?wrapper? is, but I?d like to hear how more experienced R users define it, and especially I'd like to know if there is a formal definition. In my reading, it seems like there are a fairly wide range of meanings, but they are all conceptually similar. I've looked in a couple of the classic R texts, the extensions and developers' manuals, and R

Hello, I've got what I'd expect to be a pretty simple issue: I fit an aov object using multiple error strata, and would like some significance tests for the contrasts I specified. In this contrived example, I model some test score as the interaction of a subject's gender and two emotion variables (angry, happy, neutral), measured at entry to the experiment (entry) and later

Hello Folks. This must be a silly question with a (not) obvious (to me) answer. Consider this: tmp <- matrix(1:200, nrow = 20) vec <- 300:309 tmp[9,] <- vec # replacing one row works fine p <- c(3, 11, 17) tmp[p,] <- vec # replacing multple rows pastes the values down a column and recycles vec. What I want to do is replace multiple rows simultaneously at once. I suppose I can

Hi all... My students were conflating grepping for a value in a vector to get the index, and then removing it with [-index], for instance like this: set.seed(17) v <- rnorm(20) s <- v[-1.18] They were trying to remove the 12th value in v, which is -1.18 or so. But the result is, as documented in ?Extract, to coerce 1.18 to the next lowest integer, and remove the 1st value of v, not the

Hello R Folks... Using the example below, I¹d like two of the panels to be plotted with type = ³p² but the third to be done with type = ³h². I can¹t use type = c(³p², ³p², ³h²) because this syntax applies all given types to every panel. I don¹t think I can use groups and distribute.type because these are intended for different styles of plotting within a single panel. As you can see, I tried

Hi Folks... No code to troubleshoot here. I need some suggestions about the right terminology to use in further searching, and any suggestions about R pkgs that might be appropriate. I am in the planning stages of a project in which IR, NMR and other spectra (I'm a chemist) would be collected on various samples, and individual samples would be followed over time. The spectra will be feature

Hello Kindred R Spirits... I'm trying to get a file (csv) from Dropbox using their shareable link concept. They issue a short URL that goes to a web page where you see a button that says "Download File". They don't really give you the URL of the file itself, just this page. Is there a way to coax R into getting such a file? I don't even really want the file per

I?m trying to build a simple formula interface to work with a function using ggplot2. The following scheme ?works? up until the plot(p) request, at which point there are complaints about xlim?s and a blank graphics window. Looking at str(p) I do see the limits are NULL, plus layer 1 claims to have an empty data frame (but df is reproduced correctly). I'm sure I'm missing something really

Hi all: I have an example that shows my problem: > test <- data.frame(c("a", "b", "c")) > colnames(test) <- "mm" > sub <- subset(test, mm=="b") > sub$mm [1] b Levels: a b c > levels(sub$mm) [1] "a" "b" "c" How can I reduce the levels to exclusively those which

Hello Wise Ones... I need a clever way around a problem with findInterval. Consider: vec1 <- 1:10 vec2 <- seq(1, 10, by = 0.1) x1 <- c(2:3) a1 <- findInterval(x1, vec1); a1 # example 1 a2 <- findInterval(x1, vec2); a2 # example 2 In the problem I'm working on, vec* may be either integer or numeric, like vec1 and vec2. I need to remove one or more sections of this vector;

Hello Again R Folks: I?m trying to clean up some code. Suppose I have an object like this: > str(test) List of 2 $ G:List of 2 ..$ cls:'data.frame': 101 obs. of 2 variables: .. ..$ V1: num [1:101] -0.0019 -0.0019 -0.00189 -0.00188 -0.00186 ... .. ..$ V2: num [1:101] 0.000206 0.000247 0.000288 0.000329 0.000371 ... ..$ rob:'data.frame': 101 obs. of 2

One for the ggplot2 gurus... I have a function which makes a plot just fine if the response vector (res in the example; fac1 is a factor) has no NA in it. It plots the data, then makes a little annotation at the bottom with the data counts using: p <- p + geom_text(aes(x = fac1, y = min(res) - 0.1 * diff(range(res)), label = paste("n = ", ..count.. , sep =

Hello R Folks... Not a technical question, but I need some advice and perspective. I?ve got a set of functions I?m planning to put together into a package. The main hunk of data that gets used by different functions is currently an S3 list. I?ve been reading about S4 objects, and I see the (numerous) advantages of them. I have seen the recommendation that all new packages be done with S4.