similar to: ordered logistic regression - cdplot and polr

Fairly new at this. Trying to create a conditional density plot. >cdplot(status~harvd.l,data=phy) Error in cdplot.formula(status~harvd.l,data=phy): dependent variable should be a factor What does this error mean? Status is a binary response of infestation (0/1) and harvd.l is the log of timber harvest density per catchment. Thanks. -- View this message in context:

I am having difficulties interpreting a cdplot, I have a binary variable y that I want to cdplot against a continuous variable x,below is the R command cdplot(y~x, data=mydata) you get a plot with a dark shaded area and a light shaded area. what do these areas mean? and how to interpret the plot? you help is greatly appreciated -- View this message in context:

Hi, Given that cdplot() is used to produce the conditional density of a categorical y along a numerical x, it seems natural that it could be used with a date or time x (such as 'POSIXct'). Is this desirable? If so, I've created a patch that would allow this, by coercing the POSIXct x variable to produce the density, but use the original POSIXct x to draw the x axis. Index:

Dear all, I am quite new with R and I have a problem with plotting a binomial regression line in a plot. This is what I type in: > model<-glm(Para~Size,binomial) > par(mfrow=c(1,1)) > xv<-seq(3.2,4.5,0.01) > yv<-predict(model,list(area=xv),type="response") > plot(Size,Para) > lines(xv,yv) The error message that I get is: > Error in xy.coords(x, y) :

I have two series of events over time and I want to construct a graph of the relative frequency/density of these events that allows their distributions to be sensibly compared. The events are the milestones items in my project on milestones in the history of data visualization [1], and I want to compare trends in Europe vs. North America. I decided to use a graph of two overlaid density

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

I've rolled up R-2.2.0.tar.gz a short while ago. This version contains several changes and additions, mostly incremental. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.2.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. There is also a version split for

I've rolled up R-2.2.0.tar.gz a short while ago. This version contains several changes and additions, mostly incremental. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.2.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. There is also a version split for

I've rolled up R-2.6.0.tar.gz a short while ago. This is a development release which contains a number of new features. In particular, the handling of data with a large number of identical strings should be more memory-efficient. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from

I've rolled up R-2.6.0.tar.gz a short while ago. This is a development release which contains a number of new features. In particular, the handling of data with a large number of identical strings should be more memory-efficient. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from