similar to: combine column names

I have the following problem with outputting multilingual data to a file. I get (except for Korean) what I expect as result in the RGui, but when I use sink() to output to a text file loose the characters in the foreign languages. I post a small example below. Since I am not sure how well my email system as the list copes with all the different characters I have additionally created a pdf

I recently couldn't connect to a windowXP domain share from a winXP client.(Samba is the PDC) When I attempted to mount the share from the samba server this is the error I got. colin@Alfalfa:~/oakwood$ smbmount //buckwheat/share buckwheat/ Password: 6586: tree connect failed: ERRDOS - ERRnomem (Insufficient server memory to perform the requested function.) colin@Alfalfa:~/oakwood$ smbmount

Hello R folk I have an xpt file which I have been trying to open into R in R studio On the net I found guidance which says that I need packages Hmisc and SASxport which I have successfully loaded. I had also found some code which says that this would allow me to read the xpt file into R: library(SASxport) data(Alfalfa) lookup.xport("test.xpt")

I am interested in testing two similar nls models to determine if the lines are statistically different when fitted with two different data sets; one corn, another soybean. I know I can do this in linear models by testing for interactions. See Introductory Statistics with R by Dallgaard p212-218 for an example. I have two different data sets I am comparing to lai. ci.re should have very

I''m trying to sort an object by its property names. As I understand it, iterating over an object using for...in or using Hash.each() (or Hash.sortBy()) does not guarantee the order of the properties. Is there an easy and low-overhead way to guarantee order? Or would I need to have some type of collection object that uses arrays instead of the property-value configuration that Hash

Dear group, I have these 2 following data frame: allcon <- structure(list(DESCRIPTION = structure(1:17, .Label = c("COFFEE C Jul/10", "COPPER May/10", "CORN Jul/10", "CORN May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "HENRY HUB NATURAL GAS May/10", "ROBUSTA COFFEE (10)

I'm looking at Pinheiro & Bates "Mixed-Effects Models in S and S-PLUS" at the moment. Several datasets are used, one of which is called "PBIB" (a partially balanced incomplete block design). All the other datasets can be found somewhere or other in R. However, I cannot locate PBIB, and it does not seem to be mentioned in the latest edition of the R Full Reference

UseRs, I have a dataframe with 2547 rows and several hundred columns in R 3.1.3. I am trying to run a small logistic regression with a subset of the data. know_fin ~ comp_grp2+age+gender+education+employment+income+ideol+home_lot+home+county > str(knowf3) 'data.frame': 2033 obs. of 18 variables: $ userid : Factor w/ 2542 levels

Hi all, Note: lm(Yield ~ Block + C(Variety, base = 2), Alfalfa) equals i <- 2; lm(Yield ~ Block + C(Variety, base = i), Alfalfa) However, lme(Yield ~ C(Variety, base = 2), Alfalfa, random=~1|Block) which is fine, does not equal i <- 2; lme(Yield ~ C(Variety, base = i), Alfalfa, random=~1|Block) after which I get the message "Error in model.frame.default(formula = ~Yield + Variety +

Rather than go to a penalized GLM, you might be better off investigating the sources of quasi-perfect separation and simplifying the model to avoid or reduce it. In your data set you have several factors with large number of levels, making the data sparse for all their combinations. Like multicolinearity, near perfect separation is a data problem, and is often better solved by careful

Michael, Thank you for the suggestion. I will take your advice and look more critically at the covariates. John On 7/27/2017 8:08 AM, Michael Friendly wrote: > Rather than go to a penalized GLM, you might be better off > investigating the sources of quasi-perfect separation and simplifying > the model to avoid or reduce it. In your data set you have several > factors with large

> On Apr 13, 2018, at 10:01 AM, WRAY NICHOLAS via R-help <r-help at r-project.org> wrote: > > Hello R folk > > I have an xpt file which I have been trying to open into R in R studio > > On the net I found guidance which says that I need packages Hmisc and SASxport which I have successfully loaded. > > I had also found some code which says that this would allow

Hi, Late to the thread here, but I noted that your dependent variable 'know_fin' has 3 levels in the str() output below. Since you did not provide a full c&p of your glm() call, we can only presume that you did specify 'family = binomial' in the call. Is the dataset 'knowf3' the result of a subsetting operation, such that there are only two of the three levels of

Dear fellow R users, I would like to draw a "sunflowerplot" because I have data (decade by month) that plots multiple times on the same x-y co-ordinates. Further I would like to colour each of the points/sunflower leaves on the plot according to the group they belong to (i.e. which type of event each represents within that decade and month). I thought that this would be relatively

The above came with V1.2.3, but don't seem to be included with V1.3.0. When I upgraded R, I assumed they would also come with the new version, so didn't save them elsewhere. Could someone please email them to me, or tell me where I could get hold of them? Many thanks in advance. ****************************************************************************************** * Dr.

I'm having a bit of trouble finding and understanding the correct function to make numeric vectors to feed the sunflowerplot function. I have 33k points to show and I want to do better than the standard scatter plot. I gather that I need two vectors (x and y) of the same count containing the "center" value of each bin. FYI - I have two pieces of data: 1 - x axis - time in days of

Hello, My program calculates several variables at each iteration and some of them are integers and the rest are numeric. When I save them into a matrix, all of them are of numeric type, of course. I'm trying to find a way to save time/memory of my program and I was thinking that it might help to force some variables to be of integer type and the other columns numeric type. But when I

Hello, I'm attempting to use samba winbind for ssh authentication for users in Active Directory. Things are mostly working, but I'm looking for two things: 1.) I currently have to authenticate as ADLOCAL+elijah at concordia.uchicago.edu . I would like to authenticate as elijah at concordia.uchicago.edu 2.) I would like the uid of the elijah user to be pulled from an existing

Marc, Sorry for the lack of info on my part. Yes, I did use 'family = binomial' and I did drop the 3rd level before running the model. I think the str(<subset>) that I wrote into my original email might not have been my final step before using glm. Thank you for reminding of the potential problem. I think Michael Friendly's idea is probably the solution I need to consider.

Hallo, I'm looking for a "sunflower" plot. I noticed the Splus function "p.sunflowers" (Andreas Ruckstuhl, Werner Stahel, Martin Maechler, Tim Hesterberg) don't work... If its not available I would port this function... Thanks for 1 answer P *************************************************************************** P.Malewski Tel.: 0531 500965 Maschplatz 8