similar to: abline in log-log power law plot

Anyone? :-) > > ----- Original Message ----- > From: "Matt Klein" <mklein@nmedia.net> > To: "Asterisk Users Mailing List - Non-Commercial Discussion" > <asterisk-users@lists.digium.com> > Sent: Wednesday, December 29, 2004 7:37 PM > Subject: Re: [Asterisk-Users] Cisco 7690 Voicemail Problem > > >> >> a faint scratching sound

Hi, I am trying to fit a line in the log plot of my networks degree distribution to show that it is a power-law distribution. I am using the following commands. However, I am not able to see the fitted line. Any comments to help? I am using following packages: igraph, splines,base,VGAM, netmodels. g is my network, d is the degree of nodes in the network, and dd is the degree distribution d

First, thanks to everyone who helped me get to grips with R in (x)emacs (I get confused easily). Special thanks to Stephen Eglen for continued support. My question is about non-linear binning, or density functions over distributions governed by a power law ... y ~ mu*x**lambda # In one of its forms # (can't find Pareto in the online help) Looking at the following

I am having difficulty with the calculation of the power law exponent for set of nodes within a graph. Specifically, I am interested in the distribution of in-degree and out-degree among communities of web pages where the web pages are the nodes of the graph and the hyperlinks the edges. According to the literature, the distribution of incoming and outgoing links obeys a power law distribution

Hello, I have a question about how to plot a series of data. The folloqing is my data matrix of n > n 25p 5p 2.5p 0.5p 16B-E06.g 45379 4383 5123 45 16B-E06.g 45138 4028 6249 52 16B-E06.g 48457 4267 5470 54 16B-E06.g 47740 4676 6769 48 37B-B02.g 42860 6152 19276 72 35B-A02.g 48325 12863 38274 143 35B-A02.g 48410 12806 39013 175 35B-A02.g 48417 9057 40923

Hi I just realized that when I use linear regression to draw a line through my data points with something like the following: abline(lm(y ~ x)) the length of the line is infinite, i.e., the line goes beyond the smallest and the largest data values. This seems not very right to me (not to mention it looks unaesthetic). I do not mean to imply that the straight-line behavior of my system is

Hi, I want to make a plot similar to sm1 (attached). The code I tried is: dcols <- densCols(x,y) smoothScatter(x,y, col = dcols, pch=20,xlab="A",ylab="B") abline(h=0, col="red") But it turned out to be s1 (attached) with big dots. I was wondering if anything wrong with my code. Thanks,Zhengyu -------------- next part -------------- A non-text

How do I add to a trellis plot the best fit line from a robust fit? I can use panel.lm to add a least squares fit, but there is no panel.rlm function. -- Alan S Barnett <asb at mail.nih.gov> NIMH/CBDB

Dear R-users, The help does not give much details on the use of the arguments 'from' and 'to' in the panel.abline function. I have looked in the archives but did not find how to implement them. My different tries failed miserably. E.g, the following code doesn't seem to work, in a sense that the line is not limited to the (0,10) range. Do these arguments really apply to

Dear Helpers, I just started working with R and I'm a bit overloaded with information. My data is from marsupials reindroduced in a area. I have weight(wt), hind foot lenghts(pes) as continues variables and origin and gender as categorial. condition is just the residuals i took from the model. > names(dat1) [1] "wt" "pes" "origin" "gender"

Dear R users, I am a new R user. My problem is very simple: I want to add a linear regression line to the plot(type="p"), codes are as below: x<-c(10,20,40,80) y<-c(30,40,100,200) plot(x,y,type="p") lines(lm(x~y),col="red",lwd=1.5) I got only plot without linear line. Many thanks ahead for your advice! Xipei Wang [[alternative HTML version deleted]]

Hello there, I have some data I want to plot together with a best-fit line. (see MWE below) The points from the first plot does appear as expected, but the abline does not appear, no matter what I change. I removed the log parameter before, but the abline is a very steep line around the origin. I really want to keep the logarithmic scale, plus a working abline. Can someone help me with that?

Hi, I am trying to fit a line in the log plot of my networks degree distribution to show that it is a power-law distribution. I am using the following commands. However, I am not able to see the fitted line. Any comments to help? I am using following packages: igraph, splines,base,VGAM, netmodels. g is my network, d is the degree of nodes in the network, and dd is the degree distribution d

Hi, I am generating a beautiful plot with the 'levelplot' function over my square matrix of data. In order to help visualise the data I would like to draw a diagonal line on the matrix. Because the plot is actually a trellis object, I am having difficulty working out how to do this. I have been reading around, but I don't see any easy solution to the problem. (Most of the docs I have

My question is related to plot( ) in the mgcv package. Before modelling the data, a few predictors were transformed to normalize them. Therefore, the x-axes in the plots show transformed predictor values. How do I back-transform the predictors so that the plots are easier to interpret? Thanks in advance, Suzan -- Suzan Pool Oregon State University Cooperative Institute for Marine

Estimado Eric En Hmisc la función labcurve puede ser útil, en todos casos crear una curva con valores constantes, habría que intentar, pero labcurve en algunos ejemplos en mi computadora no anda. Ayer envié dos correos, el primero era de latticeextra, usted nombra lattice, pero podría funcionar, en latticeextra: ## horizontal and vertical lines xyplot(ysim ~ xsim) + layer(panel.ablineq(v

Can anyone illuminate the following for me? How can I get rid of the blue line in the key in the second plot? ## Create a simple data frame df=data.frame(x=1:1000, y=2*1:1000+rnorm(1000,sd=1000), type=sample(letters[1:2],1000, replace=TRUE)) ## Very nice! Almost what I want qplot(x, y, data=df, colour=factor(type)) + geom_smooth() ## Make a nicer plot, with smaller points ## but why

Hi, I try to create a vertical line in my plot, which has a xaxis comprising time formated data. This is what I tried: ---------------- y<-152833 x<-strptime(y, format="%H%M%S") abline(v=x, col="red") ---------------- for some reason, it doesn't work and no error msg is displayed... I hope someone can tell me what I do wrong, or maybe an alternative. Thanks

Shoval, Interesting Mention. I agree, most people don't have CO exp. And I wish daily I had enough. Understand that what I mean by my e-mail is consumer side FXS ports, in broader terms, I mean, customer picks up a phone line, it signals a channel bank which signals *. 24 of those channels. Not channels equipped to Send Signal to the CO that a loop has been made.. meaning FXO. 24

Suppose that I'm working on Hadley's diamond dataset and I want to review the relationship between price, colour and carat. I might run the following: library(ggplot2) #plot scatter and add some hex binning q<-qplot(carat,price,data=diamonds, geom=c("hex"), main="Variability of Diamond Prices by Carat and Colour") #facet to get one scatter for