similar to: multiple separators in scan() functions

Dear all, I have a probability of presence of distribution of a species of interest (varying from 0 to 1 in continuous form) and I have a set of points where I know that species really occurs. But I don´t have points of absence. So, for each true presence I know the estimated presence. I would like to know how can I compute AUC, taking account these Available data. Best wishes,

Dear all I have a code like x<-1:10 y1<-x+runif(10)*2 y2<-seq(0,50,length.out=10)+rnorm(10)*10 par(mfrow=c(1,2)) plot(y1~x) plot(y2~x) Now I would like to plot y1 and y2 on the same graph, with its two scales (y1 on left and y2 on rigth side). Any help are welcome. Kind regards Miltinho Brazil [[alternative HTML version deleted]]

Dear all, I need to run a interactive procedure where the user will need click on the screen (over a XY plot) and I need to record the XY coordinate which the user clicked. Roughly I wrote a short code below. You see that I suppose that the user will choose four coordinates inside the region of intersection between three segmentes. On each click, I would like to record the position clicked in a

Dear all, I have a data.frame like the sample below, and I would like to expand my data.frame using "population" variable. So, for each line of my data.frame I would like that the new data.frame have many rows as the population collumn. place<-c("place1", "place2", "place3", "place4", "place5") population<-c(100,200,300,50,30)

Dear all, I have a set of x,y,z points obtained from a lizard species and now I would like to estimate the three-dimensional use of space for this species. I know that 2D area I can estimate using adehabitat packages, but I don´t know how to estimate the volumetric space. Any help are welcome. Miltinho Brazil [[alternative HTML version deleted]]

Dear all, I have strong interest on Ecological Niche Model, which in general use a set of environmental variables (continuous, categorical etc) and Presence (or Presense/Absence) records for species. I think that "grasp" and "adehabitat" packages could help me on these tasks. My input layers are on ASC format, and the record of species is a data-frame with X, Y, name of

Dear all, I have two variables which contents are date() function answers, like: d1<-date() d2<-date() Now I need to compute the difference between d2 and d1 (in minutes). Any help are welcome. Best wishes miltinho brazil [[alternative HTML version deleted]]

Dear all, I know that it is a know issue, but I would like to change the type of font on my plot, and I am not sure the rigth way. I would like to use Times New Roman font, but according to the "par()" help, some device allow we choose an family of fonts. I tryed par(family="times") without success. Surfing on R archieve I got an suggestion of use par(font.lab=6), but when I

The file TENSILE.DAT from the Hand et al "Handbook of Small Data Sets" looks like this: 0.023 0.032 0.054 0.069 0.081 0.094 0.105 0.127 0.148 0.169 0.188 0.216 0.255 0.277 0.311 0.361 0.376 0.395 0.432 0.463 0.481 0.519 0.529 0.567 0.642 0.674 0.752 0.823 0.887 0.926 except that my mail client has replaced the tab separators by blanks. If I paste this data into R 2.2.1 what I get is

Dear All, I have a set of environental maps and presence-only points for some species. How can I generate distributions models on R using these presence-only data? What packages and functions can I use to do so? Kind regards, Miltinho Brazil [[alternative HTML version deleted]]

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Dear all, I installed xlsReadWrite package under Windows 7, and got error when trying to run xls.getshlib(). Please, see the errors below: > require(xlsReadWrite) Loading required package: xlsReadWrite xlsReadWrite version (cran shlib) Copyright (C) 2010 Hans-Peter Suter, Treetron, Switzerland. !! Your installation contains the cran placeholder shlib (dll/so). Please get the regular shlib

I am trying to produce a simple plot where the points in the plot are actually integers from my data. That is, I am making a length/width plot and I would like the points, rather dots or triangles, appear as different numbers corresponding to a column in my data. I have tried using this: ...,pch="column title" but this merely returns the first letter of the column title, B. Is there

Hello, I'm trying to superimpose a line plot onto a histogram but I'm not having any luck. I've attached the dataset. What I did was: > hist(data,freq=F) Now I'm trying to superimpose the following points with a line connecting them onto the histogram: x y 100 0.535665393824959 200 0.212744329736556 300 0.0844933242968584 400 0.0335572838043417 500

Hello, Is there any way to add multiple separators in the sep= argument in read.table? I would like to be able to create different columns if I see a white space OR a "/". Thanks in advance, JJ [[alternative HTML version deleted]]

Dear all, I have some data.frame and I would like (1) change the format of y=axis to escape of scientific format (like 1e+05...) and (2) label the value or other variable on the top of the bar. df<-data.frame(x=1:6,y=c(100,500,1000,25000,500000,1000000)) barplot(df$y,names.arg=df$x) Thanks in advance, miltinho Brazil [[alternative HTML version deleted]]

Dear all, I have a data.frame with some NAs that can happens anywere, and I would like to keep only rows without NAs. Thanks in advance for your help, and Merry Xmas. myvect<-runif(100) myvect[sample(1:100)[1:5]]<-NA myDF<-data.frame(matrix(myvect,ncol=5)) myDF miltinho [[alternative HTML version deleted]]

Dear all, I have several sets of x-y-z points and I need to estimate the volume that encompass all my points. Recently I got some adivice to show the "convex hull" of my points using geometry package (see code below). But now I need to calculate the volume of my set of points. Any advice are wellcome. Thanks in advance Miltinho Astronauta Brazil ----- require(geometry) library(rgl)

Hi, How can I make the cor(x, y, method="spearman") call to produce an error when the input to it (x, y) produces an error? Here is a simple example: > a <- c(0, 1, 2) > b <- c(100, 2, 4) ## error: > log(a) [1] -Inf 0.0000000 0.6931472 ## error, as expected: > cor(log(a), log(b), method="pearson") [1] NaN ## not an error any more (not expected): >

Hi all I have this problem: In my database .dta, called "data" I have five rows data<-read.dta("C:\\2_CO_mmobile_ALL_Rid.dta") # From this database I wuold like to create another coppie<-c(data[4:length(data)]) but I find this # Length of original data length(data[,4]) 5 RIGHT!! # Length of new data