similar to: empty cells in ftable

hello I built logistic regression model. To model check I used stepAIC. But I don't know how it is interpreted . I could not any find any explanation about it For instance which model is preferable ? What are the critarias to choose beter model I will appreciate if you give me an explanation ? models --------- > lo1.step$anova Stepwise Model Path Analysis of Deviance Table Initial

Hello I need to use this command: cbind(ftable(xtabs(cnt~geo+slp+con+hey,data=dt3)) hey is in count of success /failure value but cbind gives failure/success counts. I want to change the order of this cbind as success /failure counts. for instance: I want cbind to give counts as 32-4552 rather than 4552-32 what should I do ? thanks in advance Ahmet TURKEY

hello when I entered following command, I got NA values for some catagories. > tapply(slp_jeo2$slp,slp_jeo2$jeo,mean ) 999 Ca Cka DCy Jh JKi Kk 14.06665 NA 14.60445 NA NA NA NA NA KTa KTac Ku Kua Kus Ky Kyk ODe NA NA NA NA NA NA

hello How can I change a vector's float value from ("1.085714e-01") format to a simpler format (like 0.1xxx). regards -- Ahmet Temiz Jeo. M?h. Afet ??leri Gen. Md.l??? Deprem Ar. D. Ahmet Temiz Geo. Eng. General Dir. of Disaster Affairs -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

Hoping someone can help me with xtabs and ftable. I'm trying to get a pair of ftables (possibly more) next to each other. For example: > dunhill_lights_xtab<-ftable(xtabs(grossedupobs ~ gender+age_group + dunhill_lights, data = ciggs)) > dunhill_lights_xtab dunhill_lights No Yes gender age_group Female

Thanks for the links. I agree that such a feature would be a nice addition, and could make ftable even more useful. In the same spirit, I think it could be useful to mention the undocumented base::as.data.frame.matrix function in documentation of table and xtabs (in addition to the already mentioned base::as.data.frame.table). The conversion from ftable/table/xtabs to data.frame is a common task

Hello 1* I need to use logistic regression. But my data file is very huge( appx. 4 million line). R doesn't handle such a file. What can I do ? ------------------------ 2* So, I thought whether I could perform sta. analyses on summarised data (count of yes/no values) of the huge file. Normally, summarised data file short and R could handle it. Then I used this command. > lo

One can use as.data.frame(as.matrix(tab)) to avoid calling as.data.frame.matrix directly (although I find I do use as.data.frame.matrix anyways sometimes even though it is generally better to call the generic.). Also note that the various as.data.frame methods do not address the examples in the SO links I posted which is why I mentioned it. On Thu, May 14, 2020 at 9:22 AM SOEIRO Thomas

I am generating an ftable (by running ftable on the results of a xtabs command) and I am getting the following. ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?Var1? Var2 date ? ? ? ? ? ? ? ? group? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 2007-01-01? ? ? ? ? q1 ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?1? ? 9 ? ? ? ? ? ? ? ? ? ? ?q2 ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?

Hi all, I am using ftable and xtabs to get total counts of species per location per hight category (understory, midstory and overstory). i can save the data in almost the format i would like it to be - but not quite. Here it is an example of what i get: x - is a dataframe with the following columns: LocationID, Species, PercentCover, Category where Category tells if the Species belongs to

Hi all, I am using ftable and xtabs to get total counts of species per location per hight category (understory, midstory and overstory). i can save the data in almost the format i would like it to be - but not quite. Here it is an example of what i get: x - is a dataframe with the following columns: LocationID, Species, PercentCover, Categorywhere Category tells if the Species belongs to

I have a list with four fields and 3500 records, from a MySQL table. How can i have the total for each level using table, ftable, xtabs? ex: print(ftable(table[,"field1"]~table[,"field2"])) thanks Danilo Maurizio Veneto Lavoro - Area Osservatorio - -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

Dear expeRts, Please find attached the .diff for a bug fix in R-devel 62124. format.ftable() fails to format ftable()s correctly which have no row.vars or no col.vars. That should work with the patch (the example code below also runs correctly for all the (new) 'method's). Cheers, Marius --8<---------------cut here---------------start------------->8--- (ft1 <- ftable(Titanic,

>>>>> Gabor Grothendieck >>>>> on Thu, 14 May 2020 06:56:06 -0400 writes: > If you are looking at ftable could you also consider adding > a way to convert an ftable into a usable data.frame such as > the ftable2df function defined here: > https://stackoverflow.com/questions/11141406/reshaping-an-array-to-data-frame/11143126#11143126 > and there

Following some discussion on R-help, I'd like to propose that an as.matrix method be added to those available for ftable objects. The reason for this is that there are a variety of situations where one needs to flatten a 3+ way table, but then use that for analysis as a matrix, not just for pretty-printing. There is an as.table method to turn the result back to a table, but an as.matrix

Full_Name: John Hendrickx Version: 1.6.2 OS: Windows XP Submission from: (NULL) (80.126.78.108) (This is not a bug report but a request to add a feature to future versions of R. Hope this is an appropriate place). I'd like to suggest adding an option to ftable to allow percentages. It would be easy to do and backwards compatible. Percentage tables are useful in educational contexts, whereas

Okay, great, thanks :-) Marius On 2011-05-27, at 10:56 , david.hajage at curie.net wrote: > > Hi, > > Is this what you want ? > > ft <- ftable(Titanic, row.vars=1:3) > xtable(format(ft)) > > Best, > > david > > > Marius Hofert <m_hofert at web.de> > Envoy? par : r-help-bounces at r-project.org > 27/05/2011 07:41 > > A

The ftable structure is not an ordinary matrix. Instead, it has the body of the table with several cbind- and rbind-ed rows and columns of label information. The example in ?ftable has two row factors and two column factors. Continuing with the example in ?ftable, enter tmp <- ftable(mtcars$cyl, mtcars$vs, mtcars$am, mtcars$gear, row.vars = c(2, 4), dnn =