similar to: nonlinear model

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.

Hello. I have a script in which I repeatedly fit a nonlinear regression to a series of data sets using nls and the port algorithm from within a loop. The general structure of the loop is: for(i in 1:n){ … extract relevant vectors of dependent and independent variables … … estimate starting values for Amax and Q.LCP…

Hi R users, I have a question about adding uncertainty bars to stacked bar plots. DF: year A B C Amin Amax Bmin Bmax Cmin Cmax 2009 40 45 15 30 61 23 56 14 17 2010 36 41 23 26 54 22 51 22 24 I use the code below: DF.refm = melt(subset(DF[,c(1:4)]),id.vars='year',variable_name='Legend') fig1 =

On 18/06/17 12:10, lily li wrote: > Hi R users, > > I have a question about adding uncertainty bars to stacked bar plots. > > DF: > year A B C Amin Amax Bmin Bmax Cmin Cmax > 2009 40 45 15 30 61 23 56 14 17 > 2010 36 41 23 26 54 22 51 22 24 > > I use the code below: > >

Hello everyone! I have a data frame of 136 variables with 270 observations. I would like to create a new data frame such that each element of that data frame contains the maximum value of the 6 prior lags of the initial data frame. So for example, if my original data frame, A, were A1=c(7.72, 7.94, 7.56, 7.54, 0.93, 0.59, 7.21, 8.00, 7.19, 7.57)A2=c(4.27, 3.70, 3.80, 3.67, 3.83, 3.95, 4.02, 2.06,

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 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 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

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 R experts, I am having an wired problem to save my RPlot after I use "identify" option. Points are identified properly, but when I try to save that image I get error as: " Error: first argument must be a string (of length 1) or native symbol reference" and the image without identified points are saved. I am having this problem after I upgraded to R version 3.0.0. (Mac).

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 <-

Hello. I am using the nonlinear least squares function (nls). The function that I am trying to fit seems to be very sensitive to the starting values and, if these are not chosen properly, the nls function stops and gives an error message: Error in numericDeriv(form[[3]], names(ind), env) : Missing value or an Infinity produced when evaluating the model In addition: Warning

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)),

Respected Sir/Madam, I have a question regarding calculation of LD50 (Lethal Dose) and IC50 (50% inhibitory concentration) of an antimicrobial experiment. I have used a compound isolated from a plant and observed its effect on the fungus *Fusarium oxysporum* by the food poisoning method. Solutions of the compound at concentrations of 0, 50, 100, 150, 200 and 250µg/ ml were added to

H ello R-experts, I want to do ordination plots using vegan metaMDS. I have a where many cells have zero values. Data structure: X[1:10,1:14] Height.1 Height.2 Height.3 Height.4 Height.5 Height.6 Height.7 Height.8 Height.9 Height.10 Height.11 Height.12 Height.13 D30I1A 46 0 0 0 0 0 0 0 0 0 39 0 98 D30I1B

I have tried multiple different methods to figure out how to get a date axis of my preference (start date of each month). Any assistance would be appreciated. The below section is not producing a date axis: plot(totaldays$totaldays,totaldays$y,type="n",ylim=c(0,Emax),xaxt="n") *xlabels<-(strptime(totaldays$totaldays,"%Y-%m-%d",tz=""))