similar to: R plot problems

Thank you for your help! I gave you an example, you could run it in R . Maybe you will understand my meaning clearly. x <- data.frame(main.name="AAA", x.name=rep(c("Apply","Watermelon","Lemon","Banana",

Yes! You are right ! It is perpendicular to the axis. Thank you very much! Could I choose the angle ,such as 45 degree? Best Regards! Ivy Li YMS in Production & Testing Semiconductor Manufactory International(ShangHai) Corporation #18 ZhangJiang Road, PuDong New Area, Shanghai, China Tel: 021-5080-2000 *11754 Email: Ivy_Li at smics.com -----orig--- Hi Ivy, How about x <-

Hi everybody, Could I consult one problem? I want to access database with RODBC, first download this package from http://www.microsoft.com/data/odbc as part of MDAC, the version is the newest version 2.7.0. But after I have installed this Package(RODBC) and run command libaray(RODBC), the R system report the fillowing warning information. Error in eval(expr, envir, enclos) :

Thank you for helping me! I try the "pretty" funtion to select the x-axis position value.Then I use the "format" funtion. xax.pos <- pretty(as.numeric(x$x.name)) format(xax.pos,'%d %b %y') > xax.pos [1] 1091600000 1091800000 1092000000 1092200000 1092400000 1092600000 1092800000 [8] 1093000000 There are something wrong. I found the xax.pos has been changed to

Thank you ! I run your code. It have a graph with time(date) on x-axis. Thank you very much! Well, Would you like to do me a favor again? Most of times, the x-axis time data is lasted about 3 months. They are too much. I must select some of them marking in x-axis,and they are must reasonable and human-readable. Now I have tried the "pretty " function, But as soon as I run it, the

Hi everybody, Could I consult one problem? It is about plot Now I do some analysis in plot . I need to draw a plot which x-axis is time . But when I run the funtion of plot . The x-label are very oddness number, such as the time is "2004-08-05 09:08:48", but the x-label is 1091800000. I don't know how to do . I have an example . Mybe It can explain my meaning clearly. Thank

Hello everybody, Could I consult you a question? I always use R old version 1.9.1 . Because I can not add my library into the new version 2.0.0 by the same method as old version. * I have read the webpage <http://www.stats.ox.ac.uk/pub/Rtools> * Download the tools.zip * Unpack tools.zip into c:\cygwin * Install Active Perl in c:\Perl * Install the mingw32 port of gcc in c:\mingwin *

Hello everybody, Could I consult you two questions? Recently I write some code about lattice plot. 1) bwplot function I know the lattice default background color is grey and the box color is green, but I don't like the color. So I change the background color to white use the > trellis.device(bg="white") then I modify the > panel=function(...) +{ +

Dear All, With the warm support of every R expert, I have built my R library successfully. Especially thanks: Duncan Murdoch Gabor Grothendieck Henrik Bengtsson Uwe Ligges Without your help, I will lower efficiency. I noticed that some other friends were puzzled by the method of building library. Now, I organize a document about it. Hoping it can help more friends. 1. Read

Yes, until now it works well : I had written a mistake in the smb.conf ! Sorry Thanks a lot -----Message d'origine----- De : samba-bounces+albert.hervo=sydel.fr@lists.samba.org [mailto:samba-bounces+albert.hervo=sydel.fr@lists.samba.org]De la part de Albert HERVO Envoy? : vendredi 5 novembre 2004 13:25 ? : Samba Objet : TR: [Samba] Configuration with Windows clients It doesn't

Hi, I've noted that not all `predict' methods are hidden in the namespace: > methods("predict") [1] predict.ar* predict.Arima* [3] predict.arima0* predict.glm [5] predict.HoltWinters* predict.lm [7] predict.loess* predict.mlm [9] predict.nls* predict.poly [11] predict.ppr* predict.prcomp* [13]

>>>>> Henric Winell <nilsson.henric at gmail.com> >>>>> on Tue, 7 Feb 2017 13:37:42 +0100 writes: > Hi, On 2017-02-07 13:12, Benjamin Tyner wrote: >> Hello >> >> When loading a package, I'm wondering if it's frowned >> upon for the package to alter the state of the random >> number

Dear all, I'm analyzing a binary outcome using glm() with a binomial distribution and a logit link, and have now reached the point where I'd like to do some model checking. Since my data are in binary form I'd like to collapse over the cross-classification of the factors before the model checking. Are there any nice and simple ways doing this? If so, how? If not, I'd be

The last line of the example in droplevels' manual page seems to be incorrect to me. I think it should read: "table(droplevels(aq$Month))". Amazingly (I don't understand) both variants seem to produce the same result (R 3.3.3): --- > aq <- transform(airquality, Month = factor(Month, labels = month.abb[5:9])) > aq <- subset(aq, Month != "Jul") >

Hi everyone, I've tried the below on R 1.9.1 and the 2004-08-30 builds of R 1.9.1 Patched and R 2.0.0 on Windows 2000, and the results are consistent. > seq(0.5, 0, by = -0.1) [1] 0.5 0.4 0.3 0.2 0.1 0.0 > seq(0.7, 0, by = -0.1) [1] 7.000000e-01 6.000000e-01 5.000000e-01 4.000000e-01 3.000000e-01 2.000000e-01 1.000000e-01 -1.110223e-16 Is this really the intended behaviour?

Marius Hofert-4------------------------------ > Den 2015-10-09 kl. 12:14, skrev Martin Maechler: > I think so: the code above doesn't seem to do the right thing. Consider > the following example: > > > x <- c(1, 1, 2, 3) > > rank2(x, ties.method = "last") > [1] 1 2 4 3 > > That doesn't look right to me -- I had expected > > >

Rotated text for axis labels should be possible with one of par(srt=90) axis(1,at,labels) par(srt=0) or axis(1,at,labels,srt=90) (or similar with crt instead of srt) None of these works in pre0.65 or in 0.64.2 _ platform sparc-sun-solaris2.7 arch sparc os solaris2.7 system sparc,

Dear list, I've noticed that influence.measures and cooks.distance gives different results for non-gaussian GLMs. For example, using R-1.9.0 alpha (2003-03-17) under Windows: > ## Dobson (1990) Page 93: Randomized Controlled Trial : > counts <- c(18,17,15,20,10,20,25,13,12) > outcome <- gl(3,1,9) > treatment <- gl(3,3) > glm.D93 <- glm(counts ~ outcome +

Hello, Inline. Em 12-04-2017 16:40, Henric Winell escreveu: > (Let's keep the discussion on-list -- I've added back R-devel.) > > On 2017-04-12 16:39, Ulrich Windl wrote: > >>>>> Henric Winell <nilsson.henric at gmail.com> schrieb am 12.04.2017 >>>>> um 15:35 in >> Nachricht <b66fe849-bb8d-f00d-87e5-553f866d57e0 at gmail.com>:

This is an OpenPGP/MIME signed message (RFC 2440 and 3156) --------------enig308510A16A445880F353C5C9 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable to trigger the bug: plot(0:1,0:1) text(0.5,0.5,"abc",srt=3D-1e-9) this doesn't happen for positive, small srt, or for negative srt with magnitude greater than about 1e-8 (the example in