search for: falses

Hello everyone, I am using the na.omit() function on a 785 x 79 matrix. When I restrict the matrix to 10 columns for example it returns me the right result with the na rows deleted: 756 x 10 matrix. But, if I enter the whole matrix it returns me a 64 x 79 matrix, ununderstandable, I have no idea why...Does anyone know what it could be? thanks -- View this message in context:

Hi List, I have start and end times of events structure(list(start = c("15:00", "15:00", "15:00", "11:00", "14:00", "14:00", "15:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00",

Dear R People: I am getting some odd results when using logical operators: > x <- seq(from=-1,to=1,by=0.1) > > x [1] -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 [16] 0.5 0.6 0.7 0.8 0.9 1.0 > x == -1 [1] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > x

Hello. I have this matrix: cy [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [2,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [3,] -0.5164570 -0.5164570 1.0000000 1.0000000 -0.1186691 -0.1186972 [4,] -0.5164087 -0.5164087 1.0000000 1.0000000 -0.1186995 -0.1187276 [5,]

Dear friends, Hope you are doing well. I am currently using R version 4.3.2, and I have a .xlsx file that has 46 sheets on it. I basically combined all 46 sheets and read them as a single dataframe in R using package rio. I read a solution using package readlx, as suggested in a StackOverflow discussion as follows: df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000).

I've searched the Web with Google and do not find what might cause this particular error from an invocation of cenboxplot: cenboxplot(cu.t$quant, cu.t$ceneq1, cu.t$era, range=1.5, main='Total Recoverable Copper', ylab='Concentration (mg/L)', xlab='Time Period') Error in if (n > 0) (1L:n - a)/(n + 1 - 2 * a) else numeric() : argument is of length zero I do

Folks, I have a strange situation where: library(MatchIt) f <- function(d) { m <- matchit(treatment ~ lsales + major.industry, data=d, method="nearest", discard="hull.treat") treatmentfirms <- match.data(m, group="treat") list(m=m, treatmentfirms=treatmentfirms) } res <- f(ex) does not work at the match.data() call,

Full_Name: alex Version: 2.8.1 OS: Ubuntu / MacOSX Submission from: (NULL) (162.38.183.51) > 0.6==0.6 [1] TRUE > seq(0,1,0.1)==0.4 [1] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE > seq(0,1,0.1)==0.6 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > seq(0,1,0.1)==0.8 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE

Do you heve any idea why I get after this instruction everywhere false? > seq (0, 1, by=0.1) == 0.3 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE But after different step it's ok: > seq(0, 1, by=0.1) == 0.4 [1] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE -- View this message in context:

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible Url : https://stat.ethz.ch/pipermail/r-help/attachments/20080409/28fc5778/attachment.pl

Hello, All, I have a dataset that looks like this: x <- matrix(c( 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 2, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1), ncol = 5, byrow = T, dimnames = list(1:10, c("gender", "race", "disease"))) I want to write a function to produce several matrices including only ?TRUE? and ?FALSE? for the different levels of the

Hola a todos, Tengo algunas dudas sobre como introducir en un modelo lineal factores con efectos fijos y aleatorios. Mi diseño es el siguiente: Factores Line: 40 líneas de trigo (Fijo) Rep: 3 Bloques (Aleatorio) Year: 2 Años (Aleatorio) Variable dependiente alpha.ug.mg Nota: Adjunto tabla de datos Dentro del diseño, 'Rep' y 'Year' se considera de efectos aleatorios y

libswfdec/Makefile.am | 2 libswfdec/swfdec_as_context.c | 27 libswfdec/swfdec_as_function.c | 18 libswfdec/swfdec_as_initialize.as | 35 + libswfdec/swfdec_as_initialize.h | 33 + libswfdec/swfdec_as_internal.h | 5

libswfdec/js/jsapi.c | 3 libswfdec/js/jsapi.h | 2 libswfdec/js/jsinterp.c | 2 libswfdec/js/jsobj.c | 4 libswfdec/swfdec_loader.c | 5 libswfdec/swfdec_root_sprite.c | 5 libswfdec/swfdec_script.c | 154 +++++- player/swfdebug.c | 8

Hi, I have a dataset called 'fish'. fish$Species returns extract 1. When I use fish$Species != c("CRA","PHC"), i.e. I want all species except "CRA" and "PHC", I get extract 2 which is blatantly wrong. Can anyone see what I'm doing wrong? Regards, James EXTRACT 1 > fish$Species [1] ALB ALB ALB ALB ALB ALB ALB ALB ALB ALB ALB ALB ALB

Hi Wolfgang, from your tusc trace, what's happening is that smbd is hanging on a lock call on the secrets.tdb. Chances are good that either rpc.lockd is not running, or out of sync, etc; I can force this to happen, pretty much the exact same trace, by killing my lockd daemon on the system where I am running samba before I try to start it up. locking problems over nfs is one good reason that

Hi all, I am not exactly fluent in R and I got stuck with this. I would like to compare each elements of a vector A with any of the elements in Vector B. For some reasons it does not work. > StartDate = as.Date("01/10/2007", "%d/%m/%Y") > TimeSpan = seq(StartDate, by = 'days', length = length(myAverageCWVs$X1986)) > TickLabels = c("2007-10-01",

Dear all I'm pretty sure that I'm approaching the problem in a wrong way. Suppose the following character vector: > (x[1:10] <- paste(x[1:10], sample(1:10, 10), sep='')) [1] "a10" "b7" "c2" "d3" "e6" "f1" "g5" "h8" "i9" "j4" > x [1] "a10" "b7"

Dear List, I have been trying to extract associations from a matrix whereby individual locations are within a certain distance threshold from one another. I have been able to extract those individuals where there is 'no interaction' (i.e. where these individuals are not within a specified distance threshold from another individual) and give these individuals a unique Group ID containing