similar to: Rplot save problem after using "identify" with R version 3.0.0

Hallo, I was trying some code, but couldn't make one step of the code properly. Can anybody please help me? I have one matrix like this > values [,1] [,2] [,3] [,4] [,5] [1,] 0.7777778 0.36111111 0.22222222 0.1388889 0.0000000 [2,] 1.0000000 0.00000000 0.53846154 0.0000000 0.5384615 [3,] 0.5200000 0.48000000 0.64000000 0.0000000 0.8800000 [4,] 0.8928571

Hello, How can I create a symmetric contingency table from two categorical vectors having different length of levels? For example one vector has 98 levels TotalData1$Taxa.1 [1] "Aconoidasida" "Actinobacteria (class)" "Actinopterygii" "Alphaproteobacteria" [5] "Amoebozoa"

Dear all, I have one problem to handle a large dataset... It looks like: "read" "no" "length" 2 2 144 7 7 47490 9 9 310944 11 11 10089 14 14 13152 17 17 27363 and so on There are 130000 rows >From this table I need to make a table like 2_1 2 100 2_2 2 44 7_1 7 100 7_2 7 100 ... ... 7_474 7 100 7_475 7 90 9_1 9 100 9_2 9 100 and so on... In words: I want to

Hello, I have a contingency table showing relation between two datasets. I tried to see association among them with the assocplot, but it shows error. mosaicplot of the same data worked perfectly. Can anyone please help me. Con.table=as.matrix(Con.table) > dim(Con.table) [1] 27 27 > assocplot(Con.table,space = 0.3, + main = NULL, xlab = NULL, ylab = NULL) Error in

Hello R experts, I am trying to plot ordiellipse for my data but the col according to factors. Metabolites_raw= read.csv(file.choose(), head = TRUE) #file 21Metabolites.csv Metabolites_t=t(Metabolites_raw[,2:82]) ord <- metaMDS(Metabolites_t, distance="bray") symbol=as.numeric(Metab_metadata$LandType) col.list <-

Hallo R Users, Please help I have some distance matrix data like > M[1:10,] [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.8750000 0.5000000 0.5000000 0.3750000 0.6250000 0.00000000 [2,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [3,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [4,] 0.8928571 1.0000000 0.0000000 0.8928571

Dear All, I am having some problem in apply function. I have some data like below. I want to get a range vector (which is max-min value for each row , ignoring NA values.) > Species.all[1:10,] V2 V3 V4 V5 V6 V7 V8 V9 1 57543 55938 47175 54922 36032 5785 29497 7286 2 42364 40472 29887 40107 19723 2691 14445 3258 3 19461 19646 18538 22392 6744 794

Hello I created a radar chart using the function of ?radarchart? from the ?fmsb? package in R software. The matrix I am using is as follows: x<-c(c(rep(4.5,7),c(rep(0,7)), 3.34, 3.28, 1.37, 1.12, 3.52, 4.07, 3.66)); a<-matrix(x,nrow=3, ncol=7,byrow=T) I would like to show the range of c(0,5) on the axis instead of c(0,100) or c(0,1). I really appreciate it if any body can guide me.

Dear list, I'm using the brew package to generate a report containing various plots. I wrote a function that creates a plot in png and pdf formats, and outputs a suitable text string to insert the file in the final document using the asciidoc syntax, <% tmp <- 1 makePlot = function(p, name=paste("tmp",tmp,sep=""), width=300) {

Dear all, I am new to programming in R. I deal with microarray data,which is a data frame object type. I need to carry out a few statistical procedures on this, one of them being the pearson corelation. I need to do this between each row which is a gene. So the desired result is a square matrix with the pearson corelation value between each row. So the first column would be (1,1)=0,(1,2),(1,3)

Dear R friends, I have a data frame, I need to get a time interval between the two columns. The times are recorded in 24 hour clock. My data frame is called version.one. my commands are: t.s.one<-paste(version.one[,9]) t.s.two<-paste(version.one[,61]) x<-strptime(t.s.one,format="%H:%M") x y<-strptime(t.s.two ,format="%H:%M") y z<-difftime(y,x, units =

Hello, I am trying to do a nonlinear model using the "nls" command in R software. The data I am using is as follows: A<-c(7.132000,8.668667,9.880667,8.168000,10.863333,10.381333,11.059333,7.589333,4.716667,4.268667,7.265333,10.309333,8.456667,13.359333,8.624000,13.571333,12.523333,4.084667 ,NaN,NaN)

Is anyone can help me with this ? I'm really desperate. Thx in ad. From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of Ikka - Mitra Kreasindo Sent: Wednesday, September 14, 2011 5:02 PM To: 'Asterisk Users Mailing List - Non-Commercial Discussion' Subject: [asterisk-users] Mixmonitor command parameter problem on

On 2020-11-18, Teresa Johnson via llvm-dev wrote: >AFAIK this effort stalled when Tobias changed jobs. Adding Sergei who may >know the current status of the support within Qualcomm. > >Teresa > >On Wed, Nov 18, 2020 at 11:12 AM Mitra, Gaurav via llvm-dev < >llvm-dev at lists.llvm.org> wrote: > >> Hello All, >> >> >> >> I’d like to pick up

Hello R experts, I am trying to use hmap from package seriation or bertinplot. I have two questions: How can I specify smaller font? I tried with pushViewport(viewport(layout=grid.layout(nrow = 1, ncol = 2), + gp = gpar(fontsize = 8))) but didn't work for the font with bertinplot. Also for hmap I need to arrange the margin so that all the labels are visible. I tried with par(mai=c(3,2,2,2)),

Hello R users I'm using MuMIn but for some reason I'm not getting the adjusted confidence interval and uncoditional SE whe I use model.avg(). I took into consideration the steps provided by Grueber et al (2011) Multimodel inference in ecology and evolution: challenges and solutions in JEB. I created a global model to see if malaria prevalence (binomial distribution) is related to any

I just downloaded version 1.0.0 and several binary libraries (VR, rpart, norm, stataread) - WinNT version. I then converted a file from Stata 6.0 to R format by using the stataread library. The file converts perfectly and I was able to use the VR function lda on the dataframe without difficulty. I then tried to use the same dataframe with RPART. The model statement:

I have a list of scientific names in a data set. I would like to split the names into genus, species and subspecies. Not all names include a subspecies. Could someone show me how to do this? My example code is: a <- matrix(c('genusA speciesA', 10, 'genusB speciesAA', 20, 'genusC speciesAAA subspeciesA', 15,

To account for likely differences between families in naturalization rates, we fitted a generalized linear mixed model, using PROC NLMIXED in SAS10, with the naturalization rate per genus (that is, the number of naturalized species in a genus as a proportion of the total number of introduced species in a genus) as the response variable, a variable coding genera as containing at least one native

Hi all, Given a data frame as... > head(veg) genus species trophia type geo zone importance 1 Sphagnum subsecundum M A En 100 2 Sphagnum denticulatum M A En 200 3 Molinia caerulea M A En 300 4 Sphagnum flexuosum M A En 400 5 Juncus squarrosus M A En 500 6