similar to: one sample t-test

Anna Crepes: Traubenzucker + Feldsalat spezielles Dressing (bringt selbst mit?) -------- Weitergeleitete Nachricht -------- Betreff: Fwd: Fwd: Fwd: Fwd: Fwd: Fwd: Fwd: 26. Datum: Thu, 11 Dec 2014 15:34:39 +0100 Von: Markus <universe at truemetal.org> An: universe at truemetal.org Geschenke Moritz: dunkle Schokolade. Geschenke Anna: normale Schokolade. -------- Weitergeleitete

Hello, I guess a have a very simple problem though up to now couldn't solve it: I want to plot two datasets wihtin one plot like plot(x) provides it for one dataset(type="b" that is: points connected by lines). Example data 'x': Befragung1 Befragung2 Befragung3 Geschlecht 2.25 2.34 1.78 weiblich 1.34 3.45 2.23 maennlich The two rows of the example above

Dear all, I have a huge problem after downloading and exporting data from Reuters3000 XTra: I downloaded many many monthly, quarterly and yearly data. I do not know why, but after saving, I have mixed-data sets, i.e. files which can be imported as “read.csv” and others that are in the format of “read.csv2”. Sure I could change them, but normally it should be possible to mix them… For

Hello, I'm starting working myself in the use of R, reading M. J. Crawley, The R Book. The problem I do encounter is concerning the commands apropos and find: > apropos(edit) Fehler: is.character(what) is not TRUE > find(edit) Fehler: is.character(what) is not TRUE I get the same error message typing anything else instead of "edit". The command ?edit seems to work well.

Hi, just tried 1.73-pre6 pxelinux: - booting linux works - memdisk with 1.44M Dos image works - the 'kbdmap'-parameter fails: [..] Unknown keyword in config file. Missing parameter in config file. boot: - and it doesn't remap any keys. I tried 1.66 with the same config file and it works, it accepts 'kbdmap' and also remaps the keys. Regards, Josef

OMG.. how embarassing.. that was my personal reminder E-Mail for x-mas dinner. Not meant for this list. Please ignore. Shame on me.. *blushing* LOL. Am 12.12.2014 um 21:19 schrieb Markus: > Anna Crepes: Traubenzucker > + Feldsalat spezielles Dressing (bringt selbst mit?) > > > > -------- Weitergeleitete Nachricht -------- > Betreff: Fwd: Fwd: Fwd: Fwd: Fwd: Fwd: Fwd: 26.

hi together, i have <directory> <yp-url-timeout>15</yp-url-timeout> <yp-url>http://dir.xiph.org/cgi-bin/yp-cgi</yp-url> </directory> <directory> <yp-url-timeout>15</yp-url-timeout> <yp-url>http://www.oddsock.org/cgi-bin/yp-cgi</yp-url> </directory> aktiv on the icecast.xml and in

Hi there, at first, the following scenario is used in our environment: Server-Side: - One Samba PDC using 3.0.24 release with TDB-backend. - Some Samba member servers serving files, home-dirs, etc. Client-Side: - Windows XP-Clients. - Windows Vista Clients (testing). - some Linux Ubuntu Distro (Feisty) Clients, using CIFS to access the samba-shares. fstab-entry of the Ubuntu-clients:

Hi, is there nobody in the community with the same problem or solution for the problem mentioned below? CU, Michael >From: "Mickey Smith" <speedcracker@hotmail.com> >To: samba@lists.samba.org >Subject: [Samba] Linux CIFS-access problem since samba 3.0.25(a/b) >Date: Thu, 12 Jul 2007 12:56:37 +0000 > >Hi there, > >at first, the following scenario is

I tried toy problems and there doesn't seem to be a basic problem between lm() and ts objects: X = data.frame(x=c(1,2,7,9), y=c(7,2,3,1)) lm(y ~ x, X) X <- lapply(X, function(x) ts(x, frequency=12, start=c(1994,7))) lm(y ~ x, X) and this works fine - whether you do an lm() before or after making ts objects, it's okay. But I have a situation where things aren't okay.

Hi, I have a CSV file with two columns; the first column is date, second column is numbers. I used read.csv() to load the file into the variable temp. Somehow, R could not recognize my numbers as double. Instead, it thinks these numbers are integer even though they all have decimal points (isn't that strange?). The problem I ran into is that if I tried to convert the numbers to double using

Dear Rexperts, I am trying to add a '+' identifying the mean in a boxplot using the following sizelist <- split(size, grp) centers <- boxplot(sizelist, style.bxp = "att", medpch = "o", ylab = "Prostate Volume (cm3)") points(centers, unlist(lapply(sizelist, mean)), pch = "+") But, I get error Error in xy.coords(x, y) :

Dear all R-users, I wanted to fit a Garch(1,1) model to a dataset by: >garch1 = garch(na.omit(dat)) But I got a warning message while executing, which is: >Warning message: >NaNs produced in: sqrt(pred$e) The garch parameters that I got are: > garch1 Call: garch(x = na.omit(dat)) Coefficient(s): a0 a1 b1 1.212e-04 1.001e+00 1.111e-14 Can any one

Hello, Using the following lines of code, I created the following graph:

Hello, Using the following lines of code, I created the following graph:

Hey, i want to define 3 ideal breaks (bin) for each variable one of those variables is attached in the previous email, i don't want to consider quartile method because quartile is not working ideally for that data set because data distribution is non normal. so i want you to suggest another method so that i can define 3 breaks with the ideal interval for Recency, frequency and monetary to

Hi, I've run many time e2fsck, but in a special dir ls tells me: ls: r?cksendung-wlan.dvi: No such file or directory ls: baf?g_r?ckmeldung.latex: No such file or directory ls: finpr?f.pdf: No such file or directory $ cat finpr?f.pdf cat: finpr?f.pdf: Datei oder Verzeichnis nicht gefunden I don't know what to do? How can I find the failure? If I cat the files with debugfs, I see the

I'm trying to write a function to find the means over factors of the responses in a mlm (something I would do easily in SAS with PROC SUMMARY). The not-working stub of a function to do what I want is below, and my problem is that I don't know how to call aggregate (or some other function) in the context of terms in a linear model extracted from a lm/mlm object. means.mlm <-

Hi r-users,   I have 2 sets of data and I would like to superimpose this cumulative density in one graph.   I know how to put the 2 graphs in one same graph but my problem is the data are different.   > z[1:20]  [1]  2.02347388  3.19514379  0.05188875  1.41333812  3.50249892  4.34272676  6.65639581  5.01533819  4.18207505 [10]  2.87615551  2.28202152  0.49431541  0.06570579  5.68352438

Dear R-experts! I having trouble with the correct implementation of a mixed-model ANOVA in R. I my dataset subjects were tested in a cognitive performance test (numerical outcome variable 'score'). This cognitive performance test is devided into five blocks (categorical factor 'block'). All subjects were tested two times (in random order once following placebo treatment and once