similar to: importing minitab datasets

Hi, I ran a small data set from a factorial experiment through R, Minitab and JMP... the result from R is significantly different from what Minitab or JMP give... The data set is at the following link: http://www.personal.psu.edu/nug107/Uploads/2x3_16repsANOVA.txt The first 5 columns are the factors and the next three are responses. In particular, for the response beta11MSE, two of the

I received some large data sets in Minitab Portable Worksheet (.mtp) format and wanted to read them into R. Here is a _first cut_ at a perl script that transforms .mtp files into something that can be read by R. Comments, bug-fixes, enhancements and extensions are welcome. #!/usr/bin/perl # Convert a Minitab Portable Worksheet to an R (or S-PLUS) list structure # $Id: mtp2R.pl,v 1.1 1998/01/16

Hi all. I got a question about eigenvector. I've tried input a symmetric matrix to both R (using eigen function) and minitab, but the result is really different. Can anyone tell me what's wrong with that? Thanks. [[alternative HTML version deleted]]

hi folks, Bit of a newbie, but I've spent a fair bit of time looking for an answer on this, with no joy. Can anyone help me? Dataset: A single column of values in a csv file (eg. 52, 53, 54, 85, etc) Goal: In Minitab, you have what they call a dot plot. It's a histogram, where a single dot represents a set of identical values (eg. 57, 57, 57 would be one dot). Multiple dots are

Dear R People: I ran an ARIMA(1,0,1) on a particular series in R and got a negative MA(1) estimate. Then I ran an ARIMA(1,0,1) on the same series in Minitab and got a positive MA(1) estimate. The values are about -0.69 and 0.70. Does R show the opposite value, please? Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston -

Dear all, I am new R user and I am sure that this question has been asked quite often and I have also googled it and read about it! I understood that in order to read excel sheet into R you need to open it and saved it as csv or text, is this true? or you can use read.delim2 and read.csv2 to do this without the following error > dat <- read.csv2(file="C:\\Dokumente und

Minitab can perform a "Parametric Distribution Analysis - Arbitrary Censoring" with one of eight distributions (e.g., weibull), giving the maximum likelihood estimates of the parameters in the distribution for a given dataset. Does R have a package that provides equivalent functionality? Thanks for any advice you can offer. Tom La Bone [[alternative HTML version deleted]]

On R 2.12 for Mac OSX, I have a dataset with both numerical and character values. I want to split dataset "ZIDL", into individual datasets based on the string content of variable "Dept". I can create one subset dataset at a time using a script I found on the net, but rather than run the same function 17 times, can R look at the "Dept" variable and create

hi, I am trying to get minitab demo work with wine but can't:-( here's what happened so far: installation worked, the program seems to be installed properly, on windows partition (wine c:\Program Files directory) here's what happens when I run it: jojda:~>wine /mnt/win/Program\ Files/MTBDEMO/Mtb13GE.exe FIXME:pthread_rwlock_rdlock FIXME:pthread_rwlock_unlock

Hello, I am trying to read in an Excel file that I saved as a .csv so I can analyze my assignment data! I am getting really frustrated because this is what I keep getting: Warning message: In read.table("CityData.CSV", sep = "/", header = T) : incomplete final line found by readTableHeader on 'CityData.CSV' I have open the file and make sure click return after

Below is the link for a dataset on focus. I want to split the dataset into training and test set, use training set to build the model and model tune, use test set to evaluate performance. But before doing that I want to make sure that original dataset doesn't have noise, collinearity to address, no major outliers so that I have to transform the data using techniques like Box-Cox and looking at

The R code to reproduce the solutions to the example problems in Design of Experiments with MINITAB by Paul Mathews (ASQ Quality Press, 2005) is now posted at http://www.mmbstatistical.com/DOEwithMINITAB.html. Enjoy! Paul Mathews -- Paul Mathews Mathews Malnar and Bailey, Inc. 217 Third Street, Fairport Harbor, OH 44077 Phone: 440-350-0911 Fax: 440-350-7210 E-mail: Paul: pmathews at

df <- data.frame(a = "a\"b") write.table(df, "test.csv", sep = ",", row = F) Is there any to load test.csv into R correctly? I've tried the following: > read.table("test.csv", sep = ",") [1] V1 <0 rows> (or 0-length row.names) Warning message: In read.table("test.csv", sep = ",") : incomplete final line

Hi I am performing an analysis of variance with two factors, each with two levels. I have differing numbers of observations in each of the four combinations, but all four combinations *are* present (2 of the factor combinations have 3 observations, 1 has 4 and 1 has 5) I have used both anova(aov(...)) and anova(lm(...)) in R and it gave the same result - as expected. I then plugged this into

Dear All, Would like to ask the inconsistency in the autocorrelation from R with SPSS/Minitab. I have tried a dataset x with 20 data (1-20) and ask R to give the autocorrelation of different lags using the command < acf(x, lag.max=100, type = "correlation"), However while SPSS and Minitab give the same answers (0.85 for lag1), R gives 0.3688 which is much smaller. Obviously, the

Dear R list, I have been trying to do a linear model, extracting the effect of a covariate.... and the results do not match, when I do it with other programs (e.g. minitab).... so it is obvious that I was doing something wrong. Whan I do it with minitab, I have this results: (sector is a factor and depth is the covariate): Source DF Seq SS Adj SS Adj MS F P

Hi, I sent a mail a few days ago to this list related with GFS+samba problems. Since the, we have installed a sepparated test environment also with two linux servers where we have tested a samba server with an exported share in GFS. The share is read-only and only one server is exporting it. When we try to access from a single windows client it works fine, but when we try to access to the

Hello, I have recently had issues with read.csv where i get the following warning, and this happens on both my OSX and Linux machines. Here is the warning and an example CSV file is attached: Warning message: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on 'test.csv' http://

Hi R-help. I am trying to run a linear mixed model with nested factors with either lme or lmer and I am having no luck obtaining the same results as Minitab. Here is Minitab's code: MTB > GLM 'count' = site year replicate(site year) site*year; SUBC> Random 'year' 'replicate'; Can you tell me how to code this in R? The settings are typeII, Tukey,

Hello, Given a probability function: p(x) = 12 / (25(x+1)) , x=0, 1, 2, 3 we generate the following values: C1 C2 0 0.48 1 0.24 2 0.16 3 0.12 Now, I'm supposed to create 50 random values using this table. In MiniTab, I simply selected Calc -> Random Data -> Discrete, and selected the columns, and it created 50 random values in a new column.[1] How do I do the