similar to: wishlist -- Fix for major format.pval limitation (PR#9574)

'format.pval' has a major limitation in its implementation for example suppose a person had a vector like 'a' and the error being ?0.001. > a <- c(0.1, 0.3, 0.4, 0.5, 0.3, 0.0001) > format.pval(a, eps=0.001) The person wants to have the 'format.pval' output with 2 digits always showing like this [1] "0.10" "0.30"

'format.pval' has a major limitation in its implementation for example suppose a person had a vector like 'a' and the error being ?0.001. > a <- c(0.1, 0.3, 0.4, 0.5, 0.3, 0.0001) > format.pval(a, eps=0.001) The person wants to have the 'format.pval' output with 2 digits always showing like this [1] "0.10" "0.30"

Hi List, My goal is to force R not to print in scientific notation in the sixth column (rel_diff - for the p-value) of my data frame (not a matrix). I have used the format.pval () and printCoefmat () functions on the data frame. The R script is appended below. This issue is that use of the format.pval () and printCoefmat () functions on the data frame gives me the desired results, but coerces

Full_Name: Charles Dupont Version: 2.2.0 OS: linux Submission from: (NULL) (160.129.129.136) when strsplit("", " ") returns character(0) where as strsplit("a", " ") returns "a". these return values are not constiant with each other. Charles Dupont

Hi I am using the latex() command from the Hmisc package to export table to latex. For formating of the values, I use the format() function. But I don't manage to get the format of the values right: I don't want scientific notation, but if I say scientific=FALSE, I get many digits after the decimal point which I can not control with digits=... and nsmall=... in the format command.

>From the help page of format, nsmall should control the number of digits. > format(0.123456789, nsmall = 10) [1] "0.1234567890" > format(0.123456789, nsmall = 1) [1] "0.1234568" > format(0.123456789, nsmall = 2) [1] "0.1234568" > format(0.123456789, nsmall = 8) [1] "0.12345679" It adds zeros fine but for

Dear R Core Team, First of all, thank you for your amazing work on developing and maintaining this wonderful language. I just stumbled upon the following behavior in R version 3.6.0: format(9.91, digits = 2, nsmall = 2) format(9.99, digits = 2, nsmall = 2) yield "9.91" and " 9.99" with an extraneous whitespace. My expected output for the second command is

Today I stumbled upon a very strange behaviour of format.pval. If all p values are below the threshold eps one gets format.pval(c(0.0002, 0.0004), eps = 0.001) ## [1] "< 0.001" "< 0.001" format.pval(0.0004, eps = 0.001) ## [1] "< 0.001" i.e., "< [eps]" as described in the manual of format.eps. Yet, if one ore more are above (and one or more

## I would like help in using variable values in plotmath expressions ## in lattice x <- 1:10 y <- 1:10 pval <- .95 plot(y ~ x, ## works as I want in base graphics main=substitute(list(alpha * " = " * group("",list(p),"")), list(p=pval))) plot(y ~ x, ## doesn't work as intended: "pval" is displayed main=substitute(list(alpha *

Dear R-collegues, I'm getting an error message (Error in round) when summarising a glm.nb model, and when using anova.negbin (in R 1.3.1 for windows): > m.nb <- glm.nb(tax ~ areal) > m.bn Call: glm.nb(formula = tax ~ areal, init.theta = 5.08829537115498, link = log) Coefficients: (Intercept) areal 3.03146 0.03182 Degrees of Freedom: 283 Total (i.e. Null); 282

Hello All I am having a bit of trouble formatting my HTML with the desired number of digits after the decimal place. Am I doing something wrong/misunderstanding or is it a bug? Looking at the example supplied with ?HTML.data.frame: HTML(iris[1:2,1:2],nsmall=c(3,1),file="") Gives html output that includes the lines: </tr> <tr><td

I am trying to use round()to force R to display a specific number of decimals, but it seems to display <=2 decimals no matter what I specify in the digits argument. As an alternative I tried signif(), but it also produces unexpected results. See example code and results below. Format() works, but then the result no longer is numeric. Am I missing something simple? I am using R 2.9.0 on Windows

Hi everybody, I would like to apply cor.test to a matrix with m rows and n columns and get the results in a list of matrices , one matrix for p.val, one for the statistic, one for the correlation and 2 for upper and lower confidence intervals, something analog with cor() applied to a matrix. I have done my own function to get a matrix of p.values and i suppose i can build similar functions for

Hi, I'm interested in incorporating some interaction terms between my explanatory variables (distance matrices in this case) when I'm using the function MRM of the package ecodist. The function is doing a multiple regression on distance matrices. I can get the function to work perfectly on my explanatory matrices by adding a (+) sign as known. However, when I try to use the (*) sign or

moments::anscombe.test(x) does give errors when x has too few values or if all the values in x are the same > moments::anscombe.test(c(1,2,6)) Error in if (pval > 1) pval <- 2 - pval : missing value where TRUE/FALSE needed > moments::anscombe.test(c(2,2,2,2,2,2,2,2)) Error in if (pval > 1) pval <- 2 - pval : missing value where TRUE/FALSE needed You can use tryCatch() to

Hello Friends, I am new to R and stuck with a problem. i have two columns drug_A and drug_B, i have plotted a scatter plot using the ggplot2 function. My problem is with the third column, it is the p-value column. I want to color and size points differently based on the p_value, the p_value range is between 0<0.0001< 0.001<0.05<1. I used a script using the ifelse loop, but it

Another bad case is > moments::anscombe.test(rep(c(1,1.1),length=35)) Error in if (pval > 1) pval <- 2 - pval : missing value where TRUE/FALSE needed I haven't checked the formulas carefully, but I suspect the problem is from taking the cube root of a negative number in z <- (1 - 2/(9 * a) - ((1 - 2/a)/(1 + xx * sqrt(2/(a - 4))))^(1/3))/sqrt(2/(9 * a)) In R, the

Hi, First of all, thanks for the efforts of all the developers and contributors - I'm very new to R and at the moment am just using it to create some graphics, but it seems to be quite powerful. I've googled the archives and wasn't able to find anyhting that dealt with this problem, so would appreciate any suggestions/tips. In a pairs plot I'd like to plot a linear regression line

Full_Name: Dirk Jacob Version: R 2.8.1 and 2.9.1 OS: Win XP Submission from: (NULL) (153.96.32.62) I want to convert numbers to strings like: > inputs= c(0.3+0*(1:12) ) > (format(inputs,digits=3,scientific=T,collapse=" ")) and it works [1] "3e-01" "3e-01" "3e-01" "3e-01" "3e-01" "3e-01" "3e-01"

Hi Bill, Thanks for prompt reply and letting me know a way around it. I have more than 1200 observations and not all the values are the same. However, my data points are quite similar, for example, 0.079275, 0.078867, 0.070716 in millions and etc. I have run the data without converting it to millions and I still get the same error message. As I have kurtosis value, it should be fine for the