similar to: QQ plots and boxcox

good evening all, i upgraded my last samba 2.2.7a (dog2) this afternoon and have run into problems. first, the setup: windows 2000 clients three sites on three seperate subnets connected by t1 through routers. each site has a samba server that authenticates the users on its subnet. the workgroup name for each server is dognet. /etc/passwd, /etc/group, and smbpasswd are synced up manually.

Hi, dear dovecot-users, is it possible to make dovecot ignore the DELETE command for some accounts? Basically what I want to achieve is: users shall not be able to delete their emails - but they still should be able write emails. This is meant for a setup where different users are sending and receiving emails for a "support" account. I looked into IMAP virtual folders and ACL but I

Dear R People: So thanks to your help, I have the following: > dog3.df <- read.delim("c:/Users/erin/Documents/dog1.txt",header=FALSE,sep="\t") > dog3.df V1 V2 1 1/1/2000 dog 2 1/1/2000 cat 3 1/1/2000 tree 4 1/1/2000 dog 5 1/2/2000 cat 6 1/2/2000 cat 7 1/2/2000 cat 8 1/2/2000 tree 9 1/3/2000 dog 10 1/3/2000 tree 11 1/6/2000 dog 12 1/6/2000

Hi, I would like to truncate row names. Is that possible? I ran a regression with the covariates in a matrix, and in the results the coefficients have the matrix name concatenated with the variable name: > full.t.ag <- Icens(lfirst_well, llast_well, lfirst_ill, formula=~ t.ag.X, breaks=t.ag.int, data=t.ag) > full.t.ag$cov$coeff t.ag.Xnyearc t.ag.Xhorse t.ag.Xswine

Hi all, I am trying to implement a Monte-Carlo simulation for each cell in a spatial matrix (using mcd2 package) . I have figured out how to conduct the simulation using data from a single location (where I manually input distribution parameters into the R code), but am having trouble (a) adjusting the code to pull input variables from my various data sets and then (b) applying the entire

This might more properly be filed as a bug report, but ... I came upon the following problem while trying to dyn.load a library of Fortran code into R. I'm running RedHat 7.1 on a Pentium III laptop, with R version 1.3.1 (latest rpm from CRAN) and gcc/g77 version 2.96. My library has a number of Fortran subroutines that have underscores in their names for readability. By default g77

Full_Name: Manikandan Narayanan Version: 2.8.1 OS: linux-gnu Submission from: (NULL) (155.91.28.231) Hi R-folks, I have two three-line text files: tst1, tst2 (they are the same except that the second line is longer in tst1; see cat() cmds below). read.table is only able to read the 3rd line in tst1, however reads tst2 correctly as shown below. This happens both in R 2.5.1 (windows) and R

I have configured samba 3.0.4 as follows: ./configure --with-krb5=/usr/local --with-automount --with-pam --with-utmp --with-winbind --with-libsmbclient --with-netlib='-lresolv' ran make and make install. When I run ./smbclient \\<hostname>\<useraccount> I get the following: session setup failed: NT_STATUS_LOGON_FAILURE Logfile looks like this: [2004/06/03 15:41:56, 1]

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Hi all, apologies for seeking advice on a general stats question. I ve run normality tests using 8 different methods: - Lilliefors - Shapiro-Wilk - Robust Jarque Bera - Jarque Bera - Anderson-Darling - Pearson chi-square - Cramer-von Mises - Shapiro-Francia All show that the null hypothesis that the data come from a normal distro cannot be rejected. Great. However, I don't think it looks

A not so technical friend in India is shopping for a laptop. He often travels and stays months in Malaysia and so needs to be able to use the laptop there as well. He typically connects to the internet via wifi, but sometimes must use a telephone line (yes, with a modem). And of course there will be times when he has to plug into mains power to recharge the battery. So to be able to fully use

Dear r-helpers, Prior to analysis of variance, I ran the Boxcox function (MASS library) to find the best power transformation of my data. However, reading the Boxcox help file, I cannot figure out if this function (through its associated log-likelihood function) corrects for * normality only * or if it also induces * homogeneity of variances *. I found in Biometry (Sokal and Rohlf, p. 419)

Hi, Thakns all for your help I am doing the next in my dataframe tabla, column pend1, because the Lilliefors (Kolmogorov-Smirnov) test give me a pvalue < alfa. (data no normal distribution). I need do a transformation with box-cox or other: > bc <- boxcox.fit(tabla$pend1) R send to me: Error in boxcox.fit(tabla$pend1) : Transformation requires positive data The summary for my data

Hi, Hope this does not sound too ignorant . I am trying to detrend and transform variables to achieve normality and stationarity (for time series use, namely spectral analysis). I am using the boxcox transformations. As my dataset contains zeros, I found I need to add a constant to it in order to run "boxcox". I have ran tests adding several types of constants, from .0001

Hello, I am implementing the BoxCox transformation for multiple regression using the function boxcox() from library MASS (this seems to be the best one). To avoid negative values in the variable to be transformed however, one must specify a shift parameter. However different choices for the value of the shift parameter result in different estimates for the exponent (lambda) and in different

Hi, I'm doing some work with linear models, and I've scaled my data using the scale(dataset) function. This was great at removing the skew, but I now can't perform the Box Cox transformation on the data set (using the boxcox(dataset) function), as the scaling has returned negative values. So my question is: how can I get the scale function to return a positive set of data (so I can

I've got a vector of data (hours to drive from a to b) y. After a qqplot I know, that they don't fit the normal probability. I would like to transform these data with the boxcox transformation (MASS), that they fit the model. When I try ybx<-boxcox(y~1,0) qqnorm(ybx) the plot is different from library (TeachingDemos) ybct<-bct(y,0) // qqnorm(ybct) How can I transform

Hi, I am new to R. I need help with regards to box cox transformation. I have phenotypic data for e.g. plant height. data is non-normal. Skewness is 0.34. Could you please help me? Regards, Yogi -- View this message in context: http://r.789695.n4.nabble.com/boxcox-transformations-tp4682077.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]

Hmm, this looks like a buglet/infelicity in update.lm rather than MASS::boxcox per se. Moving to R-devel. I think the story is that update.lm eventually does eval(call, parent.frame()) where the call is extracted from the lm object, but call$formula is unevaluated, and does not contain environment information like formula(obj) would do. Then when the call is evaluated and parent.frame()

Help page for boxcox function in MASS library says that the transformation is y^lambda, which is different from the Y' = log(Y) if lambda = 0 , Y' = ((Y ^ lambda) - 1)/lambda otherwise I'm used to. Is this just a help page typo ? Thanks. ---------------------------------------------------------------- This message was sent using IMP, the Internet Messaging Program.