similar to: how to interpret t.test output

Hello all: Is there a way to detect in R if a dataset is normally distributed or skewed without graphically seeing it? The reason I want to be able to do this is because I have developed and application with Visual Basic where Word,Access and Excel "talk" to each other and I want to integrate R to this application to estimate confidence intervals on fish sizes (mm). I basically want to

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Admin please remove this person. he keeps spamming the list -----Original Message----- From: tino@augsburg.net [mailto:tino@augsburg.net] Sent: Thursday, June 05, 2003 4:53 AM To: samba@samba.org Subject: [Samba] Re: Submited (004756-3463) Please see the attached file.

Greetings, compiling R 1.7.0 with gcc 3.1.1 on Debain Linux (woody stable) with the configure option --with-lapack works but make check fails in test base-R with the message [...] > kappa(x1 <- cbind(1,1:10))# 15.71 [1] 15.70590 > kappa(x1, exact = TRUE) # 13.68 [1] 13.67903 > kappa(x2 <- cbind(x1,2:11))# high! [x2 is singular!] [1] 8.351867e+16 > > hilbert

I have a simple table of data: Result Var1 Var2 Var3 1 0.10 0.78 0.12 0.38 2 0.20 0.66 0.39 0.12 3 0.10 0.83 0.09 0.52 4 0.15 0.41 0.63 0.95 5 0.60 0.88 0.91 0.86 6 -0.02 0.14 0.69 0.94 I am trying to achieve two things: 1) Manipulate this data so that I have the "Result" data unchanged, and all the other data

> Hello, > > I have a question about a discrepancy between the > reported F statistics using anova() and add1() from > adding an additional term to form nested models. > > I found and old posting related to anova() and > drop1() regarding a glm with a dispersion parameter. > > The posting is very old (May 2000, R 1.1.0). > The old posting is located here. >

Hi! I'm running an anova on a lm and I get the message Error: invalid dimnames given for data frame Any idea where it comes from? Many thanks. Here is the fit and the attempted anova: > fit Call: lm(formula = as.formula(paste(chemical, "a~", cmd, sep = "")), singular.ok = TRUE) Coefficients: (Intercept) Odom Displace Weight

On Sun, Mar 9, 2014 at 10:51 AM, Marcin Slusarz <marcin.slusarz at gmail.com> wrote: > [ 326.168487] ====================================================== > [ 326.168491] [ INFO: possible circular locking dependency detected ] > [ 326.168496] 3.13.6 #1270 Not tainted > [ 326.168500] ------------------------------------------------------- > [ 326.168504] ldconfig/22297 is