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Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component gaussian mixture -- where the components have a large overlap, and I am trying to use the "mclust" package to solve this problem. I need

http://www.physorg.com/news65033298.html Switch to Rails before it''s too late, folks! Jeff -- Posted via http://www.ruby-forum.com/.

Both the document and R itself are at 2.6.2 (2008-02-08). When I run in the Windows R console the command lines(density(eruptions, bw=0.1)) found in ? 8.2, I get: Error in plot.xy(xy.coords(x, y), type = type, ...) : plot.new has not been called yet Regards, Olivier Lefevre

Hi, I am trying to create a Cumulative Frequency graph and I am using the following example: http://www.r-tutor.com/elementary-statistics/quantitative-data/cumulative-frequency-graph When I plot this data, how do I put in "real values" on the x-axis, rather than the values that are used for the breaks Thanks -- Shane [[alternative HTML version deleted]]

Hi there, i´m have vector of kernels. just like: kernels = c('gauss','epan','rectangular') i know there are density.default$kernels, but thats not my question here. my own kernel functions are running and working. my problem is the following is not working: dev.off() par(mfrow=c(3,3)) for(i in 1:length(bw)) { for(j in 1:length(kernels)) {

Dear Knowledgeable R Community Members, Please excuse my ignorance -- I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance regarding parameters in 2 functions in the "mclust" package. -------------------- PROBLEM DESCRIPTION -------------------- I have a finite mixture modeling problem -- for example, a 2-component gaussian

Hi everyone, I have what may appear to be a newbie question, but I have looked everywhere I can think to look and I cannot find an answer. On page 35 of "An Introduction to R" the following command appears: plot(ecdf(eruptions), do.points=FALSE, verticals=TRUE). What is the do.points argument? I know what it does (suppresses printing of the points) but where can I find help on it?

> On Oct 9, 2017, at 6:03 AM, Big Floppy Dog <bigfloppydog at gmail.com> wrote: > > Hello Ulrik, > > I apologize, but I can not see how to provide a pdf in place of the density > function which calculates a KDE (that is, something from the dataset in the > example). Can you please point to the specific example that might help? > > Here is what I get: > >

Hello Ulrik, I apologize, but I can not see how to provide a pdf in place of the density function which calculates a KDE (that is, something from the dataset in the example). Can you please point to the specific example that might help? Here is what I get: require(mvtnorm) require(ggplot2) set.seed(1234) xx <- data.frame(rmvt(100, df = c(13, 13))) v <- ggplot(faithfuld, aes(waiting,

Hi, This is not a HW problem, sadly: I was last in a classroom 30 years ago, and can no longer run off to the instructor :-( I apologize but I cut and paste the wrong snippet earlier and made a typo in doing so, but the result is the same with the more appropriate snippet. require(mvtnorm) require(ggplot2) set.seed(1234) xx <- data.frame(rmvt(100, df = c(13, 13))) v <- ggplot(data = xx,

Hola comunidad, tengo el siguiente problema con la funcion stat_density2d (estimacion de densidad 2d.) del paquete ggplot2 stat_density2d (mapping = NULL, data = NULL, geom = "density2d", position = "identity", na.rm = FALSE, contour = TRUE, n = 100, ...) de esta función requiero ver el cálculo númerico de la estimación de la densidad, cuento con el siguiente codigo y

library(mvtnorm) # you were misusing "require"... only use require if you plan to library(ggplot2) # test the return value and fail gracefully when the package is missing set.seed( 1234 ) xx <- data.frame( rmvt( 100, df = c( 13, 13 ) ) ) xx2 <- expand.grid( X1 = seq( -5, 5, 0.1 ) # all combinations... could be used to fill a matrix , X2 = seq( -5, 5, 0.1 )

I'm trying to shade part of a density plot. The code I'm trying (using the Old Faithful data as an example) is something like this: # The Old Faithful geyser data data(faithful) d <- density(faithful$eruptions, bw = "sj") plot(d) polygon(d[d$x>4], col = "wheat") I expected that the part of the curve to the right of 4 on the x axis should be shaded, but nothing

Dear all, In many cases, I need a plotting region much bigger than the screen (e.g. for maps or for graphs with many labels). A. MS-Windows if I try windows(width=25, height=25, rescale="fixed") it seems to be OK (a screen with scrollbars, exactly what I need) but if I try then plot(faithful$eruptions, faithful$waiting) I receive Error in plot.new() : Outer margins too large

I'm trying to plot a series of densities using/comparing differing weights. I see the reference to weights and subscripts, but I don't understand how to implement that. My data are of the form: I, J, Actual, Distance, Subset, Weight1, Weight2, ... I'm trying to see the effect of the distance distribution (Actual by Distance) compared to the various weighted distributions

An alle finanzinvestoren! Diese aktie wird durchstarten! Dienstag 29. Mai startet die hausse! Firma: Talktech Telemedia Kurzel: OYQ / OYQ.F / OYQ.DE WKN: 278104 ISIN: US8742781045 Preis: 0.54 5-T Prognose: 1.75 Realisierter kursgweinn von 450% in 5 tagen! OYQ Wird wie eine rakete durchstarten! DIENSTAG 29. MAI STARTET DIE HAUSSE! But thanks for drawing my attention to it anyway. These

I'm using Asterisk 1.4.22.1 When I'm on active call it happens many times the call gets interrupted by music-on-hold without my pressing any button. MOH just kicks in and int erupt the call and I have no way of getting the call back. Did anybody experienced anything like this? -- Joseph

What is a good way to enter a very long model formula. For example: y ~ Input.2 + Input.3 + ... + Input.1000 (assuming the corresponding dataframe has many other columns). Is there a way to convert a character string to a formula? Are there command line expansions in R besides the simple '.'? Thanks. [[alternative HTML version deleted]]

One of the products of Project MOSAIC (funded by an NSF CCLI grant) has been the development of an R package with the goal of making it easier to use R, especially in teaching situations. We're not quite ready to declare that we've reached version 1.0, but version 0.4 does represent a fairly large step in that direction. You can find out more about the package on CRAN or by installing

One of the products of Project MOSAIC (funded by an NSF CCLI grant) has been the development of an R package with the goal of making it easier to use R, especially in teaching situations. We're not quite ready to declare that we've reached version 1.0, but version 0.4 does represent a fairly large step in that direction. You can find out more about the package on CRAN or by installing