search for: significally

Dear list, I'm trying to write a class for Gaussian error propagation of measured values and their (estimated) errors, > setClass("sec", representation(val="numeric", err="numeric")) I've already successfully implemented basic arithmetics using mostly the "Arith" group generics. But I'm running into trouble when trying to get signif() to

printCoefmat(signif.legend =FALSE) does not work properly. The option "signif.legend = FALSE" is ignored as shown in the example below. cmat <- cbind(rnorm(3, 10), sqrt(rchisq(3, 12))) cmat <- cbind(cmat, cmat[,1]/cmat[,2]) cmat <- cbind(cmat, 2*pnorm(-cmat[,3])) colnames(cmat) <- c("Estimate", "Std.Err", "Z value", "Pr(>z)") #

I need a function like signif(), but returns the rounded values as character strings, formatted with trailing zeros where appropriate. If anyone has one, I would sure appreciate a copy. Thanks -Don Details: signif() rounds a number to a specified number of significant digits, for example: > x <- c(2.503,2.477,0.1204) > signif(x[1],3) [1] 2.5 > signif(x[2],3) [1] 2.48

PROBLEM `signif' does change to scientic notation at different levels depending on the number of significant digits in the input. This can generate tables where figures change ``irregularly'' from normal to scientific notation. PROPOSAL The change to the scientific notation should be made only if the figure in scientific notation - with potentially as

Suppose I have the following matrix > class(cov_50) [1] "matrix" > cov_50 [,1] [,2] [1,] 0.3201992 2.308084 [2,] 6.7312928 5.719641 I then use the following function via apply and get the desired output, a list signif <- function(x) which(abs(x) > 1.96) apply(cov_50, 1, signif) > apply(cov_50, 1, signif) [[1]] [1] 2 [[2]] [1] 1 2 However, I can't

Hello, I have simulation results in the form of Time V I 0.000000000000e+000 7.218354344368e-001 5.224478627497e-006 1.000000000000e-009 7.218354344368e-001 5.224477718002e-006 2.000000000000e-009 7.218354344368e-001 5.224477718002e-006 4.000108361244e-009 7.218354344368e-001 5.224478627497e-006 8.000325083733e-009

Hi all, I am running R version 2.4.0 (2006-10-03) on an i686 pc with Mandrake 10.2 Linux. I was given a binary data file containing single precision numbers that I would like to read into R. In a previous posting, someone suggested reading in such data as double(), which is what I've tried: > zz <- file(file, "rb") > h1 <- readBin(con = zz, what = double(), n = 1, size

Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 Signif. codes: 0 <80><98>***<80><99> 0.001 <80><98>**<80><99> 0.01 <80><98>*<80> <99> 0.05 <80><98>.<80><99> 0.1 <80><98> <80><99> 1 Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 hmm... they go away when I

Dear R-Devel, As I am sure many of you know, a special issue of The American Statistician just came out, and its theme is the [mis]use of P values and the many common ways in which they are abused. The lead editorial in that issue mentions the 2014 ASA guidelines on P values, and goes one step further, by now recommending that the words "statistically significant" and related simplistic

Hello! I am trying to round the number always up - i.e., whatever the positive number is, I would like it to round it to the closest 10 that is higher than this number, the closest 100 that is higher than this number, etc. For example: x<-3241.388 signif(x,1) rounds to the closest thousand, i.e., to 3,000, but I'd like to get 4,000 instead. signif(x,2) rounds to the closest hundred,

signif(.) is a <primitive> function. Unfortunately, I couldn't even find WHERE in the source, signif(.) is defined. Here are the symptoms: xmin <- .Machine $ double.xmin signif(xmin,3) #--> NA umach <- unlist(.Machine)[paste("double.x", c("min","max"), sep='')] for(dig in 1:10) {cat("dig=",dig,": ");

Hi, I recently spent quite a bit of time trouble shooting a function that I had written only to discover that the problem I was having was with the comparison operator. I assumed that the following would return TRUE: > testMean <- 82.8 + 0.1 > testMean [1] 82.9 > testMean == 82.9 [1] FALSE Apparently this has to do with deciml places. Look: > newTest <- 82.0 > newTest [1]

My question is about the "Signif. codes" and the p-value, specifically, the output when I run summary(nameofregression.lm) So you get this little key: Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 And on a regression I ran, next to the intercept data, I get '***' Coefficients: > > Estimate Std. Error t value Pr(>|t|) > >

I came to report this same bug and found it already in the trash, but I slightly disagree with that assessment. If it's not a bug, then perhaps it's a feature request. Comments at the end. On Mon, May 14, 2007, Duncan Murdoch wrote: >>On 13/05/2007 8:46 PM, scott.wilkinson at csiro.au wrote: >> >> In the example below round() does not report to the specified number of

I saw something like this. > x <- 5180000000000003 > print(x, digits=20) [1] 5180000000000003 > as.character(x) [1] "5.18e+15" I thought it was because, when x is numeric, as.character(x) represents x rounded to 15 significant digits. > print(signif(x, 15), digits=20) [1] 5180000000000000.0000 > as.numeric(as.character(x)) == signif(x, 15) [1] TRUE The documentation

Full_Name: Ben Hansen Version: 2.6.1 OS: Windows Submission from: (NULL) (66.93.3.101) Hi, In R 2.6.0 or 2.6.1 on Windows, I get the following upon opening the GUI (no previous commands or special settings): > signif(digits=4, x=1/3) [1] 4 It seems to be taking 4 to be the "x" argument, the number to be rounded. However, my understanding (perhaps mistaken) was that it should

Okay, I stumped. I'm trying to build a matrix or data.frame that consists of values by group. For example, resid, group 574 0.536196370873122 E 575 0.93191093696265 E 576 -1.27116094894117 A 577 -1.05159666055027 A 578 0.398273458301184 D 579 0.586373126102573 E 580 0.806575304513802 E 581 0.897258393118338 E 582 0.342393324256838 D 583 0.781245511773227 E I

Hi Martin, I take your point - but I'd argue that significance stars are a clumsy solution to the very real problem that you outline, and their inclusion as a default sends a signal about their appropriateness that I would prefer R not to endorse. My preference (to the extent that it matters) would be to see the significance stars be an option but not a default one, and the addition of

My question is about the "Signif. codes" , the output when I run matcoef =cbind(fit$par, se.coef,tval,2*(1-pnorm(abs(tval)))) dimnames(matcoef)=list(names(tval),c("Estimate","Std.Error","t value","pr(>|t|)")) cat("\nCoefficient(s):\n") printCoefmat(matcoef, digits=4, signif.stars = TRUE) Coefficient(s): Estimate

[Environment: Win Xp, Miktex 2.7, R 2.9.2] In an Sweave document, I'm displaying the results of car:::Anova() tests, that look like this in the generated .tex file: \begin{Soutput} Type III MANOVA Tests: Pillai test statistic Df test stat approx F num Df den Df Pr(>F) (Intercept) 1 0.86 90.38 4 60 <2e-16 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1