similar to: Resizing Graphic Device Windows

Hi all, I have the following 7 x 7 matrix. ?I am trying to figure out how to label the columns to something more descriptive other than [,1], [,2], etc. I have tried the c(x,y,z,) function, but I get a error returned stating that my vectors need to be the same length. Do I need to convert this to something else such as a list and then repack it? Thanks, Kindra ?? ? ? ? Volume Time ? ? ? ?[,1]

I posted a similar question, but feel it needs a bit more elaboration. I have a data frame (read from a csv file) that may have missing rows. Each day has 7 time intervals associated with it, with a range from 17:00 hrs to 18:00 hrs in 10 minute bins. What I am looking for is a script that will run through the data frame and insert "NA"in the Volume column for any dates that are

Thanks it worked for me. I wanted to plot days since planting on x-axis 1 and years on x-axis 3. LAI_simulation$Date <- as.Date( LAI_simulation$Date, '%Y/%m/%d') LAI_simulation$Date <- as.integer(LAI_simulation$Date - as.Date("2009-10-07")) plot(LAI~Date,data=LAI_simulation,xlab="Days since Oct, 7,

Hi everyone I want a square scatterplot with abline(0,1) going exactly through the SW and NE corners. By "square" I mean that the plotting region is exactly square, and that the axis limits are identical. x <- 1:20 y <- x+rep(c(-1,1),10) lims <- range(c(x,y)) None of the following do this: plot(x,y) ; abline(0,1) #not square plot(x,y,asp=1);abline(0,1) #diagonal

Dear list, I'm writing a long document (thesis) and as much as I would like to use only ggplot2 for the graphics, some features are still a bit undocumented so I often end up choosing either ggplot2, lattice, or base plots (which i know better) depending on the particular graph to produce. With the default settings, this does not make for a consistent look I would like to see

Estimate region of highest probabilty density Dear R-community I have data consisting of x and y. To each pair (x,y) a z value (weight) is assigned. With kde2d I can estimate the densities on a regular grid and based on this make a contour plot (not considering the z-values). According to an earlier post in the list I adjusted the kde2d to kde2d.weighted (see code below) to estimate the

Hola a todos He estado trabajando con el paquete osmar y funciona muy bien.Puede alguien decirme donde encontrar informacion o algun script para generar una lista con N pares de puntos (longitud/latitud) aleatorios o siguiendo una funcion determinada dentro del marco de coordenadas definido por corner_bbox(left, bottom, right, top) para despues plotearlos. saludos eloy ortiz -- Este

Dear list, I've recently came across a problem that I think I've solved and that I wanted to share with you for two reasons: - Maybe others come across the same problem. - Maybe someone has a much simpler solution that wants to share with me ;-) The problem is as follows: expand.grid() allows you to generate a data.frame with all combinations of a set of values, e.g.: >

Hello all, I'm trying to create a heatmap using 2 matrices I have: z and v. Both matrices represent different correlations for the same independent variables. The problem I have is that I wish to have the values from matrix z to be represented by color intensity while having the values from matrix v to be represented by circle size. I currently have the following in front of me and an unsure

Hi, I posted a message earlier entitled "How to fit a line through the "Mountain crest" ..." I figured loess is probably the best way, but it seems that the problem is the robustness of the fit. Below I paste an example to illustrate the problem: tmp=rnorm(2000) X.background = 5+tmp; Y.background = 5+ (10*tmp+rnorm(2000)) X.specific = 3.5+3*runif(1000);

Dear wizaRds, I use the MASS::kde2d function to estimate density of the two first principal components. I do that to have a graphic visualisation of a "group structure" in my dataset. So far, no problem. But i would like to estimate that density using weights according to the COS?? values that tells me if my observation is well represented on the factorial plan 1-2. I would like to

Dear List, I have been writing a Lattice function to draw what we call stratigraphic diagrams, these are diagrams with a panel for each species showing a time series of abundance, but drawn vertically to represent time passing from bottom of plot towards to top. I am most of the way there with this now, but I want to do away with the strip on each panel and instead draw a custom top axis with a

Greetings everyone! I've just written two small patches. The first one allow opacifying windows when resizing ; it adds two options to resize plugin's gconf data : opacify (int, opacify percent) & opacify_non_opaque (bool, sets if non opaque windows should be opacified when resizing) The second one just add the option opacify_non_opaque to move plugin. Both patches were

Hello, Can anyone tell me if there is a package which will allow me to write a package in R, then publish the package using WebServices? The idea is that I want to be able to pass a data set into R, have R perform the calculations, then send the result back to either a .Net application or a LIMS BASIC application. So far I see many packages that allow R to consume WebServices, but I haven't

Good evening, I am Marta Colombo, student at Milan's Politecnico. Thank you very much for your kindness, this mailing list is really useful. I am using the function kde2d for two-dimensional kernel density estimation and I'd like to know something more about this kind of density estimator. In particular I'd like to know: what bandwidth is used ? Thank you in advance for your attention

Hi R collective, I quite like the "curve" function because you can chuck a R function into it, and see the graph in one line of R. I had a google and found some threads for filling under the line; http://tolstoy.newcastle.edu.au/R/e2/help/07/09/25457.html However they seem to miss the point of the simplicity of going, "I wonder what that looks like, and can I have some colour

Hi, I'm trying to use mars function in R to interpolate nonlinear multivariate functions. However, it seems that mars gives me a fit which uses only very few basis function and it underfits very badly. For example, I have tried the following code to test mars: require("mda") f <- function(x,y) { x^2-y^2 }; #f <- function(x,y) { x+2*y }; # Grid x <-

Hi All, I have been able to modify the x-axis to start at zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any

Problem: Based on a n x 2 data matrix i want a kernel estimate of the bivariate density. However, i also wish to specify wich points the density should be calculated at. I can offcourse just write the full kernel density estimate as a R-code, but surely there must already exist some package for this operation? The package density(), seems to create a new matrix (depending on n), where the

Hello! I am trying to do a smooth with the kde2d function, and I'm getting an error message about NAs. Does anyone have any suggestions? Does this function not do well with NAs in general? fit <- kde2d(X, Y, n=100,lims=c(range(X),range(Y))) Error in if (from == to || length.out < 2) by <- 1 : missing value where TRUE/FALSE needed Thanks in advance!! Jen [[alternative