similar to: how to draw multiple vertical bands

Hello All, My question is regarding the attached plot. I would like to have multiple transparent green bands running the length (yaxis) of the plot the width of which is determined by the green lines at y=0 in the plot. Can you suggest a way to do it? For those who can't or are unwilling to download the file the plot is at http://www.twitpic.com/ma8w0 Thanks!

Hi all, I would like to ask your help to add a color band (Ι am not sure regarding the right term, this color band at the right of the plot "describing" values with their corresponding color. For now I have only this code test<-matrix(data=runif(10000),nrow=100) plot(test,axes="FALSE") axis(1,at=c(0,1),labels=c("a","b")) # but  I would like to add

Dear list, I met with a business case and feel frustrated to model it,scenario is like this 1. logistics department running 2. a lot of customers place orders and goods need to be send to their site (nationwide) 3. order received and then choose from a list of truck carriers to deliver goods,a cheapest one should be selected but might not available for the limit of order-shipment time,so a more

I am the maintainer of the 'tis' package. One of the functions in my package is 'nberShade'. A user wants to make nberShade generic, with the old version renamed as nberShade.default, all of which is fine with me. And he wants to add a new method, nberShade.ggplot, which works for objects of class ggplot. He also wants to add a method fortify.tis for the generic fortify defined

I would like to add vertical shaded blocks in plot.xts graphs (like recession periods in FRED graphs) The reason I use plot.xts instead of plot.zoo is that I like the fact that the grid is automatically aligned with major ticks in plot.xts. xblocks() and rect() do not seem to work with plot.xts (only with plot.zoo). Are there any alternative methods that work with plot.xts? Thanks. -- View

Hello, Can anyone suggest a simple way to generate a Kaplan-Meier plot with 2 survfit objects, just like this one:? https://drive.google.com/file/d/1fEcpdIdE2xYtA6LBQN9ck3JkL6-goabX/view?usp=sharing Suppose I have 2 survfit objects: fit1 is for the curve on the left (survtime has been truncated to the cutoff line: year 5), fit2 is for the curve on the right (minimum survival time is at the

Dear all I have tried to estimate the confidence intervals for predicted values of a nonlinear model fitted with nls. The function predict gives the predicted values and the lower and upper limits of the prediction, when the class of the object is lm or glm. When the object is derived from nls, the function predict (or predict.nls) gives only the predicted values. The se.fit and interval aguments

Dear R users, I need a produce a plot with a single panel and a few lines on it. Each line represents a different data set. The line types must be "h", i.e. ?histogram? like (or ?high-density?) vertical lines. The problem is that the vertical lines comprising a plot line of type="h" are drawn from the y=0 line to the (x, y) locations. What I need is vertical lines drawn from

Hi, I am trying to add a rectangular colored background area to a plot of a time series of relative price changes. I believe that what I'm trying to do is very similar to the question and example given here: http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg73948.html http://www.mayin.org/ajayshah/KB/R/html/g5.html My problem/difference is that my time series looks like so: >

On 15/06/17 05:29, David Winsemius wrote: > >> On Jun 14, 2017, at 10:18 AM, David Winsemius <dwinsemius at comcast.net> wrote: >> >> >>> On Jun 14, 2017, at 9:46 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: >>> >>> I don't see a question. If your question is whether R supports pattern fills, AFAIK it does not. If that is

I have a problem with including extra data in a lattice graphic. I am trying to put some calculated values in an extra column of a boxplot. A minimal example should show what I am trying to do: foo <- data.frame( Treatment=rnorm(1:12,2),

Dear List, I have a richness data distributing across 20 N to 20 S latitude. (120 E-140 E longitude). I would like to draw the richness in the north hemisphere and a regression line in the plot (x-axis: latitude, y-axis: richness in the north hemisphere). The above demand is done using plot. Then, south hemisphere richness and regression are required to be generated using the same y-axis above

Dear List, I am struggling with the trellis graphic. A similar problem was mentioned here: http://r.789695.n4.nabble.com/R-How-can-you-get-N-replicates-of-a-multi-screen-multivariate-time-series-plot-td811850.html I do have 2 time series data sets. The 2 time series differ in some orders of magnitude. I managed to plot them into 1 graph, but, since the data is that different, on of the data

> On Jun 14, 2017, at 9:46 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > > I don't see a question. If your question is whether R supports pattern fills, AFAIK it does not. If that is not your question, ask one. > -- > Sent from my phone. Please excuse my brevity. > > On June 14, 2017 7:57:41 AM PDT, jean-philippe <jeanphilippe.fontaine at

> On Jun 14, 2017, at 10:18 AM, David Winsemius <dwinsemius at comcast.net> wrote: > > >> On Jun 14, 2017, at 9:46 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: >> >> I don't see a question. If your question is whether R supports pattern fills, AFAIK it does not. If that is not your question, ask one. >> -- >> Sent from my

Hi, I want to have a horizontal line on a mosaic plot with "vcd" package. This would give me an idea where is 0.5 proportion in a cell. Using "mosaicplot" function of "graphics" package, I can draw a line using "abline." But, with "mosaic" function of "vcd" package, I have tried to use "abline" function, which complains

Hello list, I've been working on this problem for a while and I haven't been able to come up with a solution. I have a couple of functions that plot a bunch of data, then a single point on top of it. What I want is to be able to change the plot of the point without replotting all the data. Consider the following example: x = rnorm(100,1,0.5) y = rnorm(100,1,0.5) plot(x,y,pch=16)

Hello Senne: I am currently teaching a simulation and modeling course in which we use R for most purposes and Sim Py (a python module for discrete event simulation). I am looking for a real-life case such as yours to approach in class- if you wish, i would be happy to look into the case you are describing, along with the data, to work out in the course. If you are interested, please reply with

> On Jun 14, 2017, at 1:53 PM, Rolf Turner <r.turner at auckland.ac.nz> wrote: > > On 15/06/17 05:29, David Winsemius wrote: >>> On Jun 14, 2017, at 10:18 AM, David Winsemius <dwinsemius at comcast.net> wrote: >>> >>> >>>> On Jun 14, 2017, at 9:46 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: >>>>

Sigh. I never load packages in .Rprofile to avoid the irreproducibility trap. Might seem drastic to some, but I don't feel much pain because I almost always edit my code in a file rather than on the fly at the console, and re-run it frequently from a fresh R process to check my progress. -- Sent from my phone. Please excuse my brevity. On June 14, 2017 3:27:15 PM PDT, David Winsemius