similar to: barplot and x-axis font size

Displaying 10 results from an estimated 10 matches similar to: "barplot and x-axis font size"

2010 Aug 05
1
Kolmogorov-Smirnov test, which one to use?
Hi, I have two sets of data, an observed data and generated data. The generated data is obtained from the model where the parameters is estimated from the observed data. So I'm not sure which to use either one-sample test ks.test(x+2, "pgamma", 3, 2) # two-sided, exact or two-sample test ks.test(x, x2, alternative="l") If I use the one-sample test I need to
2006 Jan 23
1
too-large notches in boxplot (PR #7690)
PR #7690 points out that if the confidence intervals (+/-1.58 IQR/sqrt(n)) in a boxplot with notch=TRUE are larger than the hinges -- which is most likely to happen for small n and asymmetric distributions -- the resulting plot is ugly, e.g.: set.seed(1001) npts <- 5 X <- rnorm(2*npts,rep(3:4,each=npts),sd=1) f <- factor(rep(1:2,each=npts)) boxplot(X~f) boxplot(X~f,notch=TRUE) I can
2001 May 26
1
boxplots
Was there ever a convenient method provided to add boxplots to the current plot at specified x values? There was a question by Martin Maechler some time ago here, but I could seem to find any satisfactory resolution of it. I see that there is an add=T option to boxplot and bxp, but I don't see how to set the x-values. url: http://www.econ.uiuc.edu Roger Koenker email roger at
2010 Feb 16
3
error : unused argument(s) when boxplot
Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :
2009 Sep 08
2
strange results in summary and IQR functions
Dear R users, Something is strange in summary and IQR. Suppose, I have a data set and I would like to find the Q1, Q2, Q3 and IQR. x<-c(2,4,11,12,13,15,31,31,37,47) > summary(x) Min. 1st Qu. Median Mean 3rd Qu. Max. 2.00 11.25 14.00 20.30 31.00 47.00 > IQR(x) [1] 19.75 However, I test the same data set in SAS "proc univariate", and SAS shows that
2004 Aug 06
4
decoder give me values over 32000!
Hello, we are using speex 1.0.3 under windows. We code samples with values from -32.000 to 32.000 (signed short), but when we decode these samples the values range from -45.000 to 45.000. What is the problem? <p> Thanks --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message
2003 May 11
2
printing issues - lprng
Hi, I am running samba and lprng for 4 hp laserjets. Sometimes a samba print job goes to the wrong printer. Normally everything works just fine. Shown below is the lprng acct log file enries for the concerned print job. Please notice that the print job was supposed to go to hp4050-mail, but ended up in hp8100. Any suggestions are much appreciated. Thanks Balagopal jobstart
2004 Aug 06
1
decoder give me values over 32000!
I think there is a problem. If we are coding PCM 16 mono, then, when we decode the samples we should obtain PCM 16 mono again, but wave data over 16bits is extracted from the decoder. If the input level is reduced we could loss wave information. Thanks for your help <p>Jean-Marc Valin wrote: >> we are using speex 1.0.3 under windows. We code samples with
2011 Jan 09
1
Operating on count lists of non-equal lengths
This is my first post to R-help and I look forward receiving some advice for a novice like me... I?ve got a simple repeated (4 periods so far) 10-question survey data that is very easy to work on Excel. However, I?d like to move the compilation to R but I?m having some trouble operating on count list data in a neat way. The data C > str(C) 'data.frame': 551 obs. of 13
2012 Mar 25
2
avoiding for loops
I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",