similar to: problem with all/all.equal

Hello: Here are some basic class items: > x <- 1:10 > class(x) [1] "integer" > x.mat <- matrix(1:6,nrow=2) > class(x.mat) [1] "matrix" > class(x>3) [1] "logical" > test <- function() { plot(1:10) } > class(test) [1] "function" > Is there something that says "vector", please? Or does it go to numeric, logical,

Is there a way to increase the "sensitivity" of the color palette in order to more clearly represent certain sections of data? For example I am wanting to clearly differentiate between height data for a rolling landscape but because of the extremes of the dataset (sea and mountain tops), the bulk of the landscape is shaded in closely approximating green - i have attempted to do this by

Hello, I am a newbie in R and I have a problem. I want this line: newMyData <-MyData[!(is.na(col1)) | !(is.na(col2)) | !(is.na(col3)) | !( is.na(col4)) | !(is.na(col5)),] write in for loop. The number of col[number] may be different from 3 to 8 Is there any ideas? Thank you Laura [[alternative HTML version deleted]]

HI I am trying to analyse data which is left-censored (i.e. has values below the detection limit). I have been using the NADA package of R to derive summary statistics and do some regression. I am now trying to carry out regression on paired data where both my X and Y have left-censored data within them. I have tried various commands in R: rega = cenreg(Cen(conc, cens_ind) ~ Gp_ident))? with

Dear Laura, It looks like you want to remove all rows for which each column is NA. You can to that with the code below. na.matrix <- is.na(MyData) all.na.row <- apply(na.matrix, 1, all) MyData[!all.na.row, ] Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND

Dear all: Does anyone have any suggestions on how to make a spatially explicit landscape with spatial autocorrelation in R? In other words, a landscape where all cells have a spatial reference, and the environment values that are closer in space are more similar (positive spatial autocorrelation). Thank you, Laura

hi ?integer says: Note that on almost all implementations of R the range of representable integers is restricted to about +/-2*10^9: 'double's can hold much larger integers exactly. I am getting very confused as to when to use integers and when not to. In my line I need exact comparisons of large integer-valued arrays, so I often use as.integer(), but the above

Hi all, I am using the lda function from the MASS library to measure the discriminance of different variables with respect to different grouping variables by using lda( RESULTVARS[, 1:750] , GROUPVAR , tol=0 ) where RESULTVARS contains some 750 different variables. Occasionally there is a variable within RESULTVARS that has the same values for all values of GROUPVAR, ie no variance so

Greetings All. Once again, I am probably missing something fairly accessible, but since I can't find it I'd welcome advice! I have a dataframe derived from a text file of data in tabular format. For one of the variables, say X, I want to select the subsets which in which X equals a particular value. Such values are given in the text file like: 2.3978953, and each such value will occurr

Dear R-help, I'm very sorry to ask 2 questions in a week. I am using the package 'crr' and it does exactly what I need it to when I use the dataset a. However, when I use dataset b I get the following error message: Error in drop(.Call("La_dgesv", a, as.matrix(b), tol, PACKAGE = "base")) : system is computationally singular: reciprocal condition number =

>>>>> Duncan Murdoch >>>>> on Fri, 5 Apr 2019 11:12:48 -0400 writes: > On 05/04/2019 10:46 a.m., Therneau, Terry M., Ph.D. wrote: >> >> >> On 4/5/19 9:39 AM, Duncan Murdoch wrote: >>> On 05/04/2019 10:19 a.m., Therneau, Terry M., Ph.D. wrote: >>>> Duncan, >>>> ?? I should have

Hi all, Been using Cacti for monitoring various things like, system disk/mem/ proc, network usage, router usage etc... While its been fun, the graphs are just unruly. Was looking an OpsView (the free version), wondering what your experience with this type of trend/heuristic analysis has been and what what you like. And of course thoughts on OpsView. - aurf

Hola! I seem to remember i used to have the same name of argument and default value in argument list to functions, but (rw1.5.1) this seems not to work: > x <- 3 > test <- function(x=x) x*x > test(7) [1] 49 > test() Error in test() : recursive default argument reference here is a code fragment from lm() using the same syntax: else { x <- model.matrix(mt, mf,

Hi! I am new to Mongrel but really like it so far. We''ve been running a single instance for our test server for about a week now. When one of our editors accesses the site, they receive a blank white page in Firefox and/or IE6/Win. In Mongrel logs we see this: Wed Aug 09 16:25:30 PDT 2006: BAD CLIENT (192.168.2.42): Invalid HTTP format, parsing fails. Wed Aug 09 16:25:31 PDT

Dear Jon, thank you for raising the issue, >>>>> Jon Clayden <jon.clayden at gmail.com> >>>>> on Tue, 28 Jul 2015 12:14:48 +0100 writes: > Sorry; minor clarification. The actual test criterion in the example I > gave is of course abs((0.1-0.102)/0.1) < 0.01, not abs(0.1) < 0.01. In > any case, this does not match (my reading of) the docs,

Dear all, The documentation for `all.equal.numeric` says Numerical comparisons for ?scale = NULL? (the default) are done by first computing the mean absolute difference of the two numerical vectors. If this is smaller than ?tolerance? or not finite, absolute differences are used, otherwise relative differences scaled by the mean absolute difference. But the actual behaviour

On 05/04/2019 11:33 a.m., Martin Maechler wrote: >>>>>> Duncan Murdoch >>>>>> on Fri, 5 Apr 2019 11:12:48 -0400 writes: > > > On 05/04/2019 10:46 a.m., Therneau, Terry M., Ph.D. wrote: > >> > >> > >> On 4/5/19 9:39 AM, Duncan Murdoch wrote: > >>> On 05/04/2019 10:19 a.m., Therneau,

I'm planning my first Linux/Wine install. Is there any advantage to having a Windows (say W2K) partition to install Win apps to, when the plan is to run them under Wine/Linux? I do have a licensed copy of W2K, so I could do that if it were an advantage (e.g., is it easier to install difficult or unruly win apps under windows first?). Any other suggestions (I'm planning out my partition

Hi all, I have a dataframe called 'table' in which both factors and numerical values are stored. > dim(table) [1] 990 6 The fist 10 lines of table, to get an idea: > table[1:10,] QueryNo Query type Ret Prec Rec 1 1 Sports exact 1 1 0.01 2 5 Office exact 0 NaN 0.00 3 6 Meeting exact 0 NaN 0.00 4 7 Studio exact 0 NaN 0.00

On 25.05.2015 21:29, Ilia Mirkin wrote: > Commit 8acaf862dfe switched things over to use TEXCOORD instead of > GENERIC, but did not update the nv30 swtnl draw paths. This teaches the > draw logic about TEXCOORD. > > Among other things, this fixes a crash in demos/arbocclude when using > swtnl. Curiously enough, the point-sprite piglit works without this. > > Signed-off-by: