similar to: Adding ranks to a repeatedly ragged array

Hello, I have a big problem which I’m just not able to solve. I created the following mean value from the following dataset structure: Id |value 1 | 2 1 | 3 1 | 4 2 | 2 2 | 1 3 | 5 4 | 3 etc.|etc. with the command: mean_rating <- tapply(ratok$value, ratok$project_id , mean,simplify = FALSE) this gives me a ragged array: > mean_rating [1] $`14`

x.fun <- function( formula, data ) dotplot( formula, data ) x.grp <- function( formula, groups, data ) dotplot( formula, groups, data ) data( barley ) > x.fun( variety ~ yield | site, data=barley ) # no problem > dotplot( variety ~ yield | site, groups=year, data=barley ) # no problem > x.grp( variety ~ yield | site, groups=year, data=barley ) object "year" not found

Hi All, I'm wanting to convert a ragged list of values into a structured matrix for further analysis later on, i have a solution to this problem (below) but i'm dealing with datasets upto 1GB in size, (i have 24GB of memory so can load it) but it takes a LONG time to run the code on a large dataset. I was wondering if anyone had any tips or tricks that may make this run faster? Below is

R 1.8.1: ___COMMAND____________________________________________ levelplot( yield ~ year * variety | site, barley ) ___ERROR_MESSAGE______________________________________ Error in Summary.factor(..., na.rm = na.rm) : "min" not meaningful for factors ___COMMENT____________________________________________ levelplot( yield ~ as.numeric(year) * as.numeric(variety) | site,

How to show panels for factor levels of conditioning variables which do have no values? E.g. there are panels for "Grand Rapids" when they have values: data( barley ) with( barley, dotplot(variety ~ yield | year * site, layout=c(6,2) ) ) There are no panels for "Grand Rapids" when there are no values for "Grand Rapids": my.barley <- subset( barley, ! ( site ==

OK, I am try to produce an array of ranks. I have a set of data (s) that looks like this rt subj 312 dave 467 dave 411 dave 383 kim 398 kim ... Now I want to make a column that is an array of the ranks of rt by subject. The closest of gotten is using the following. r <- by (s, s$subj, function(d) rank(d[1])) This gets the data out with ranks but I cannot figure out how to easily

I have two lists: xa <- list( X=c(1,2,3), Y=c(4,5,6), Z=c(7,8,9) ) xb <- with( barley, tapply( X=seq(1:nrow(barley)), INDEX=site , FUN=function(z)yield[z])) I can convert xa to a dataframe easily with: as.data.frame(xa) But if i try the same with xb I get: as.data.frame(xb) Error in as.data.frame.default(xb) : can't coerce array into a data.frame What

I want to display cumulative summary functions with lattice. First I tried to get cumulated data: library(lattice) data(barley) d.cum <- with( barley, by( yield, INDICES=list(site=site,year=year), FUN=cumsum ) ) I got a list of vectors. I tried to get a dataframe which I could use in xyplot. But neither of the following functions led to the goal: d.cum.df1 <-

I use lattice package and 'barchart' to build a chart. I have a problem with setting different x-axes. Some x categories are missing but they are display and I don't want. I use scales = list(y = "free",x="free") but it works only for y-axes. Simple example: package(lattice) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(1,6),

PROBLEM # Allocating strip labels by the function strip.fun(): strip.test() # Result: No strips: ok. No strings: NOT OK. # The distance ``y.text=unit(6,"points")'' is ignored; # the strings are not seen on the output. TRIALS FOR WORKAROUNDS strip.test( strip.lines=1 ) # Result: 2 strips: ok, but not whished. 2 strings: ok.

Hi, I have a list made up of character strings with each item a different length (each item is between 1and 6 strings long). Is there a way to convert a "ragged" list to a matrix such that each item is its own row? Here is a simple example: a=list(); a[[1]] = c("a", "b", "c"); a[[2]] = c("d", "e"); a[[3]] = c("f",

How one can add a text (e.g. the labels of an axis) in a space between grouped panels which was created by using the argument ``between''? Example: data(barley) dotplot(variety ~ yield | site * year, data=barley, between=list(x=c( 0, 0, 6 )) How to add labels for the y axis in the space in the middle? Thanks Wolfram

Dear all! W2k, R 2.5.1 I am working with an ongoing malting barley variety evaluation within Sweden. The structure is 25 cultivars tested each year at four sites, in field trials with three replicates and 'lattice' structure (the replicates are divided into five sub blocks in a structured way). As we are normally keeping around 15 varieties from each year to the next, and take in 10 new

Actually, this is supposed to work (and is given as an example in my DSC-2003 paper), and at some point, did. It seems this was broken as a consequence of a careless change in panel.levelplot. The first 5 lines should have been label.style <- match.arg(label.style) x <- as.numeric(x[subscripts]) y <- as.numeric(y[subscripts]) minXwid <- min(diff(sort(unique(x))))

I have a large dataset (~1 million rows) of three variables: ID (patient's name), DATE (of appointment) and DIAGNOSIS (given on that date). Patients may have been assigned more than one diagnosis at any one appointment - leading to two rows, same ID and DATE but different DIAGNOSIS. The diagnoses may change between appointments. I want to subset the data in two ways: - define groups

Hi, I'm experimenting with using (R)SQLite to do data management. Here are two little problems that I've encountered: 1. The presence of ',' in string values causes trouble since ',' is also the delimiter used in the SQL statement. 2. A newline '\n' line attached to the last string value of each row. Some examples: > library (RSQLite) Loading required

Suppose I wanted to plot the barley data like this: dotplot(variety ~ yield | year+ site, barley, strip = strip.custom(style = 4)) The factor levels are far too long for that to be useful. I can overcome that problem if I shorten the levels like this: dotplot(variety ~ yield | year + site, barley, strip = strip.custom(style = 4, factor.levels =

Dear ladies and gentlemen! In the help text for the xyplot (library(lattice), help(xyplot)) is an example given how one can use barchart: barchart(yield ~ variety | site, data = barley, groups = year, layout = c(1,6), ylab = "Barley Yield (bushels/acre)", scales = list(x = list(abbreviate = TRUE, minlength = 5)))

Dear R's, I have a survey where customers rank a set of 5 packages for a product, so the response variable looks like a d b c a c d b d b a c Predictors variables are 4 socio-economic parameters. I have modelled the FIRST choice of each subject as a multinomial model, similar to the housing example in MASS ch7.3, , but I would prefer to use the whole rank-set instead. Can someone give me a

Hi, The following produces almost exactly what I needed. The problems are that the 'panel.dotplot' call (commented) generates the error 'Error in NextMethod("[") : argument "subscripts" is missing, with no default'. The other problem is that the colors alternate between the levels of the 'site' variable, rather than 'year'. barley$yield2