similar to: Error in documentation for ?legend

Right, that's my point. The help page mentions a `title.cex`, like I said; saying that `cex` sets the default `title.cex` sure implies to me (and presumably to the other people whose discussion I linked) that a `title.cex` parameter exists. Since no such parameter exists, this bit in the documentation is misleading (suggesting that there is a `title.cex` parameter which can be set, when there

> On 25 Mar 2017, at 00:39 , POLITZER-AHLES, Stephen [CBS] <stephen.politzerahles at polyu.edu.hk> wrote: > > To whom it may concern: > > > The help page for ?legend refers to a `title.cex` parameter, which suggests that the function has such a parameter. No it does not. All arguments are listed and documented, none of them is title.cex, and there's no

>>>>> POLITZER-AHLES, Stephen [CBS] <stephen.politzerahles at polyu.edu.hk> >>>>> on Sat, 25 Mar 2017 13:25:32 +0000 writes: > Right, that's my point. The help page mentions a > `title.cex`, like I said; saying that `cex` sets the > default `title.cex` sure implies to me (and presumably to > the other people whose discussion

Hello everyone, Does anyone know what would cause the skewness() function (from e1071), as well as skew() from psych, to return a value of NaN? I have a vector of positively-skewed data (https://docs.google.com/file/d/0B6-m45Jvl3ZmYzlHRVRHRURzbVk/edit?usp=sharing) which these functions return a value for like normal: > skewness( data ) # returns 1.400405 but when I instead give those

Hello everyone, I've conducted a Type III repeated-measures ANOVA using Anova() from the car package, based on the suggestions at http://blog.gribblelab.org/2009/03/09/repeated-measures-anova-using-r/(option 3) and http://languagescience.umd.edu/wiki/EEG#ERP_ANOVA_in_R. My ANOVA has two factors: Condition (3 levels) and Region (6 levels) and their interaction. Below is code to run the Anova

Hello everyone, I am running a mixed effects model where I have two fixed factors, one with 2 levels and one with 4, and their interaction. Let's say these are my factors and their levels: FirstFactor: 1, 2 SecondFactor: A, B, C, D For the interaction, I am interested in the four two-way comparisons, not the two four-way comparisons. In other words, I want to test whether 1A is

Hello, duplicated() does not seem to work for a long vector. For example, if you download the data from https://docs.google.com/open?id=0B6-m45Jvl3ZmNmpaSlJWMXo5bmc (a vector with about 12,000 numbers) and then run the following code which does duplicated() over the whole vector but just shows the last 30 elements: data.frame( tail(verylong, 30), tail(duplicated(verylong), 30) ) you'll see

Hello everyone, I am testing a model in which I have a two-level factor (let's call it First [1, 2]) nested under a four-level factor (let's call it Second [A, B, C, D]). I have used the following model to get coefficients representing whether, for each level of Second, there is a significant difference (in the outcome variable, Latency) between the levels of First: test <- lmer(

Then why ONE sound card have different capture and playback rate? It must be ONE single physical clock generator which is used by both ADC and DAC in the sound card, isn't it? If you are a hardware engineer. Will you design two different physical clock for ADC and DAC seperately? What on earth causes this problem? Who knows its intrinsic real reason? Isn't there any other solutions? For

Hello, I have a list of data with multiple elements, and each element in the list has multiple variables in it. Here's an example: ### Make the fake data dv <- c(1,3,4,2,2,3,2,5,6,3,4,4,3,5,6) subject <- factor(c("s1","s1","s1","s2","s2","s2","s3","s3","s3",

Suppose we have a data file containing: "Smith, John", 120, 90 "Thomson, Peter", 110, 85 there are 3 variables in it. If we use x <- read.table("tmp.txt", sep=",") to read the data to a data.frame, the result will be 4 columns. Splus 4.0 have no problem with this kind of data. Li Dongfeng

Suppose we have a data file containing: "Smith, John", 120, 90 "Thomson, Peter", 110, 85 there are 3 variables in it. If we use x <- read.table("tmp.txt", sep=",") to read the data to a data.frame, the result will be 4 columns. Splus 4.0 have no problem with this kind of data. Li Dongfeng

Dear all, I studied in tank prey fish behavior. Using the design described below (and R code), I want to test the effects of both habitat and predator (and interaction) on prey fish's vertical distribution, which was recorded (with repeated measures) as a categorical variable. I found that package mlogit might fit to my need but I don't know how to specify my complex design in the

a warning message appears when i use the chisq.test ,but it doesnt appear everytime, why? "Warning message: Chi-squared approximation may be incorrect in: chisq.test(matrix(c(20.1, 18.5, 2.6, 32.9, 23.5, 5.4), nc = 2)) " why does the warning message appear, please? Thank you very much here is the data which I have tried appear and not appear warning message have warning message

Hi, i am trying to run an ANCOVA and a bootstrapped ANCOVA analysis on a specific data set. I am using the ancova and ancboot functions as in the following code: setwd("C:/Users/User/Desktop/Rdatabilingualstudy2012") bilingualismdata<-read.spss("bilingualdataforconferences2012.sav", use.value.labels = TRUE, to.data.frame = TRUE)

I have found that the polyroot() function in R-1.1.1(both solaris and Win32 version) gives totally incorrect result. Here is the offending code: # Polyroot bug report: # from R-1.1.1 > sort(abs(polyroot(c(1, -2,1,0,0,0,0,0,0,0,0,0,-2,5,-2,0,0,0,0,0,0,0,0,0,1,-2,1)))) [1] 0.8758259 0.9486499 0.9731015 1.5419189 1.7466214 1.7535362 1.7589484 [8] 2.0216317 2.4421509 2.5098488 2.6615572

Hello, I am learning R and I am fluent in Stata and I try to translate part of my Stata code to R to check the reliability of the data under R. I have a proportion variable as a dependent variable pQSfteHT . Independent variables are dummies for two categorical variables called dQSvacrateHTQuali3 and cluster_3. I am fitting a model with the Stata command below: glm pQSfteHT dQSvacrateHTQuali3_2

Dear R users, I have a reproducible data and try to create new variable "clo" is 1 if know variable is equal to "very well" or "fairly well" and getalong is 4 or 5 otherwise it is 0. rep_data<- read.table(header=TRUE, text=" id1 id2 know getalong 100000016_a1 100000016_a2 very well 4 100000035_a1 100000035_a2 fairly

I got through with reactos.org using proxy.org! however, silly ISP won't offer support still... I'm going to give them a piece of mind soon... anyway back on topic now. I can finally find this thingy...

Dan Kegel wrote: > On Sun, Apr 6, 2008 at 8:09 PM, bussuser <wineforum-user at winehq.org> wrote: > > > but ... http://translate.google.com/translate?u=http%3A%2F%2Flinux.insigma.com.cn%2Fjszl.asp%3Fdocid%3D122805676&langpair=zh%7Cen&hl=en&ie=UTF-8 > > > > Sadly, it looks like they used ReactOS code. This might be > a problem, since some of the