similar to: remove a row from a dataframe, row names disappear - solution

I find this odd because it doesn't appear to happen in larger datasets. I have the following data set ENV with the first column set as row.names: > ENV TPlog 001S29H 0.601 002S42H 0.602 003S43S 0.779 004S43S 0.702 005S51H 0.978 006S52P 2.718 If I apply > ENV <- ENV[-1,] # remove first row of data (right?) ...ENV comes back as: [1] 0.602 0.779 0.702 0.978 2.718 So I

I have the following small dataset: > stardata NS HE EB CW RW PW 1 0 0.000 0.000 0.042 0.006 0 2 0 0.006 0.000 0.013 0.005 0 3 0 0.000 0.011 0.000 0.000 0 I have plotted the star diagrams as follows: stars(stardata, key.labels = dimnames(stardata)[[2]], labels = NULL, key.loc = NULL, draw.segments=TRUE, col.segments="gray", lty="blank") I am

Using the maptools function "map2poly" I have created a map/polylist object - a map of the Great Lakes. My goal is to passively plot additional data on this map. Unfortunately I am not able to change (distort) the relative scale of the axes for the map, and so the sample points do not line up correctly on the map. In the code below, notice that I have set the same axis ranges on each

I have the following data frame: > algaedata = year DIV cellsperml 2001 BAC 72.808 2001 CHL 3.273 2002 BAC 14.002 2002 CYA 220.896 2002 UNI 464.699 2003 BAP 0 2003 BAC 1.782 2004 CYA 315.799 2005 UNI 222.532 2005 BAP 0.2 2005 CYA 163.627 2005 BAC 324.949 2006 CHL 1.636 2006 BAC 199.145 2007 CHL 19.635 2007 CYA 134.174 2007 BAC 485.405 2007 CHL 11.454 2007 CYA 104.721 ...which makes a fine

I'm a week-old R user, and have become stuck trying to create usable CSV outputs for post-processing. I am using the package Rioja, which provides small datasets of results. I am running several analyses in a loop and iteratively adding the results to a *list* ("combined"). Within each iteration I use the following: > combined[[i]] <- performance(fit) With two iterations I

# I have a question about how factanal is calculating the regression factor # scores based on an oblique rotation (promax) of the factors. # # As is explained in the help file, regression factor scores are # obtained as # # hat f = Lambda' Sigma^-1 x # # However, according to Harman's "Modern Factor Analysis" (e.g. second # edition, pp. 351-352) the formula is # # hat f = Phi

I would like to revisit a problem that was discussed previously (see quoted discussion below). I am trying to do the same thing, using a string to indicate a column with the same name. I am making "foo" a string taken from a list of names. It matches the row where "item" = 5, and picks the corresponding "taxon" > foo <- list$taxon[match(5,list$item)] Let's

Seth Forshee noticed a performance degradation with some workloads. This turns out to be due to packet drops. Euan Kemp noticed that this is because we drop all packets where length exceeds the truesize, but for some packets we add in extra memory without updating the truesize. This in turn was kept around unchanged from ab7db91705e95 ("virtio-net: auto-tune mergeable rx buffer size for

Seth Forshee noticed a performance degradation with some workloads. This turns out to be due to packet drops. Euan Kemp noticed that this is because we drop all packets where length exceeds the truesize, but for some packets we add in extra memory without updating the truesize. This in turn was kept around unchanged from ab7db91705e95 ("virtio-net: auto-tune mergeable rx buffer size for

On 10/09/13 14:09, Thomas Goirand wrote: > On 09/10/2013 03:17 PM, St?phane Glondu wrote: >> Le 06/09/2013 10:14, Thomas Goirand a ?crit : >>> I wrote it many time to many people. Please don't just read 1.6 as "new >>> upstream release" for XCP. That's unfortunately not the way it works. >>> Upstream version for Debian and the one they do for

Hi All, I am looking for the Rsync binary for NT as mentioned on the Mike McHenry postings. Unfortunatley the ftp mentioned in the article wont accept anonymous login. TIA, Euan Clark -------------- next part -------------- HTML attachment scrubbed and removed

Package: ftp.debian.org Severity: normal Hi, Writting this message saddens me, but no choice... Because upstream authors (eg: Citrix) have explained that they cannot maintain the current version of XenAPI, or upgrade it to a newer version, we have no choice but to remove completely XenAPI from both Unstable and Testing. Quoting Euan Harris from Citrix (it's not needed for the FTP masters

I''m looking for a way to backup my entire system, the rpool zfs pool to an external HDD so that it can be recovered in full if the internal HDD fails. Previously with Solaris 10 using UFS I would use ufsdump and ufsrestore, which worked so well, I was very confident with it. Now ZFS doesn''t have an exact replacement of this so I need to find a best practice to replace it.

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

I am trying to produce rather mundane output of the form e.g. pi, e = 3.14 2.718 The closest result I achieved so far with print() is: > print (c(pi, exp(1)), digits = 3) [1] 3.14 2.72 > print(c("pi, e =", pi, exp(1)), digits = 3) [1] "pi, e =" "3.14159265358979" "2.71828182845905" I understand that c() promotes floats to strings and

Hello R-help subscribers, I am analyzing a data set using a mixed logit model, and I have recently discovered some curious behavior. I am hoping you all can help. I first ran the following model in December 2012. lmer(Response.binary ~ ItemType.c * Block + (1 | Subject) + (1 | Word), data=lexdec, family="binomial") I then took a break from the data for the holidays. I returned to

Dear all I need to compute percentage changes of my data, but unfortunately they contain both negative and zero values, and I am quite confused on how to proceed. Searching the internet I found that many people ran into similar issues, with no obvious solution available. The last couple of weeks I've been playing with all the data transformations that I could think of. Below I will expose on

This command cdmoutcome<- glm(log(value)~factor(year) > +log(gdppcpppconst)+log(gdppcpppconstAII) > +log(co2eemisspc)+log(co2eemisspcAII) > +log(dist) > +fdiboth > +odapartnertohost > +corrupt > +log(infraindex) > +litrate > +africa >

Bueno, ya lo he solucionado gracias a Carlos me ha enviado un correo en privado (supongo que se ha despistado, si no lo querías hacer público ya es tarde) con esta info: -- Creo que lo tienes (en formato básico) aquí: https://stat.ethz.ch/pipermail/r-help/2007-November/146285.html Aunque pensaba que si tu objetivo último es el de que usuarios "potencialmente tontos" sean capaces de

Hi, I have 12 independent variables and one dependent variable. Now I want to select the best adj. R squared model by using the regsubsets command, so I code: > plot(regsubsets(Gesamt ~ CommunistSocialist + CountrySize + GNI + Lifeexp + Schoolyears + ExpMilitary + Mortality + + PopPoverty + PopTotal + ExpEdu + ExpHealth, data=olympiadaten, nbest=1, nvmax=12), scale='adjr2') Then I