search for: abscissas

Is it easy or difficult to label the abscissa of a scatter graph as 1/trueScaleValue at that point? -- View this message in context: http://r.789695.n4.nabble.com/labeling-abscissa-using-a-function-of-the-plotted-scale-tp4678075.html Sent from the R help mailing list archive at Nabble.com.

Hi folks, I'm using R 2.5.0 under ESS under Windows XP. (This also happens using the Rgui application.) I'm trying to add lines to a plot originally made with "boxplot", but the lines appear in the wrong place. Below is a script that illustrates the problem # boxablinetest.R - script to show problem with abline on box plot x <- c( 2, 2, 2, 3, 3, 3, 4, 4, 4) y

Hi all. I have defined a plot thus: par(mar=c(5,5,4,5),las=1, xpd=NA) plot(Day, Ym1Imp, ylim=c(0,100), type="b", bty="l", main="Ym1 Expression", cex=1.3, xaxt="n", yaxt="n") #plot implant data axis(side=1, at=c(0,1,3,5,7,10,14,21), labels=c(0,1,3,5,7,10,14,21)) # label x axis mtext("Day", side =1, at=10, line=3, cex=1.2) # title x

Readers, I have looked at various documents hosted on the web site; I couldn't find anything on interpolation. So I started r and accessed the help (help.start()). (by the way is it possible to configure r to open help in opera instead of firefox?) Initially I read the help for the akima package but couldn't understand it. Next I tried the asplines package help. I tried to copy the

Hi, i am working on a data set with EDA. That includes QQ-Plots of residuals vs expected normal distribution. What puzzles me is that the range of ordinate and abscissae is so different: while the theoretical quantiles range from [-2, 2] the sample quantiles on the ordinate do extent from [-20, 50]. Quite obviously some kind of transformation is done. Although i intensively RTFM i could not

First of all, thanks to everyone who answers these questions - it's most helpful. I'm new to R and despite searching have not found an example of what I want to do (there are some good beginner's guides and a lot of complex plots, but I haven't found this). I would like to plot two variables against the same abscissa values. They have different scales. I've found how to make

...g to determine if R is useful to me. I've browsed 'The Basics of S and S-Plus' (Krause & Olson), and like the logic of the language. However, I don't see an easy way to do things like this: * given a set of observations (x,y) (x and y equal-length vectors), and a 2nd set of abscissas x2, interpolate y at the new abscissas x2. (for now, I don't really care what kind of interpolation -- linear, some type of spline, etc.) * given observations (x,y), (with unequally-spaced x), create vector z with the numerical derivative of y with respect to x (eg evaluated at the values x)....

Dear list, I would like to study the dynamics of functions using R (instead of mathematica e.g.), i.e. the behavior of points under iteration of a function. So I tried (in vain) writing a function myfunction <- function(f,n,x){...} in order to compute f^{n}(x), f^{n}(x) being the function f composed with itself n-1 times. n is a natural number, and the argument x is the abscissa of the point I

Suppose I do a psychology experiment in which each of six subjects does several items in each of five fixed conditions, A, B, C, D, and E. The items are randomized separately for each subject, so I can ignore order. All I want to know is whether the five conditions differ. The data look like this. Each row is a subject, and each number is the score in the given condition. A B C D E 4 1

>From owner-r-help at stat.math.ethz.ch Tue Jan 29 06:13:23 2002 >I've got a data-frame contining variables i columns named after the >specified subject and with data which represents time of observation. > >What I would like to do is to get a plot with observation time on the >ordinate and subject on the abscissa -- kind of a "at what time did I >observe the

Greets Folks, I've been wrestling with how to better control plotting of time data and just can't seem to see the right path. My dataset has thousands of points distributes across a number of years. I would like to plot the responses according to increasing time with nice boundaries - perhaps integer months - along the abscissa. However, the earliest time occurs mid-month and I

Hi, In my discpipline, it is common to plot one acoustic property on a positive scale but from top to bottom on the ordinate and the same for another measurement on the abscissa. So, the origin of the plot is on the top right of the plot, with increasing values to the left /down. This is to highlight the correlation between the acoustic measurement and the position of the forming structure, for

Dear all, I've got a problem with the function atan2. For a couple of coordinates x and y, This function returns the angle between the vector of coordinates (x, y) and the abscissa axis, i.e. it is the same as atan(y/x) (as indicated on the help page). If we consider the vector with coordinates x = 0 and y = 0, we have the following result: > atan(0/0) [1] NaN This is expected.

The contributed package e1071 does exactly what I want except that I need to have (1) the abscissa and ordinate axes swapped, with the probability scale on the bottom and the quantiles scale on the LHS. Using the following example: library(e1071) x <- rnorm(100, mean=5) probplot(x, line=FALSE) and (2) I need to have lines connecting the plotted symbols, as you get with:

I'm new to making bubble plots with R, so I was going to try the following: https://stat.ethz.ch/pipermail/r-sig-geo/2009-August/006258.html Unfortunately, it looks like rgdal is not part of 2.14.  I'm not sure if it was the mirror I selected or something else is going on. > install.packages("rgdal") --- Please select a CRAN mirror for use in this session --- Warning

I am working with a non-parametic smoothing operation using a Generalized Additive Model. It is a bivariate data set. I know how to do the smooth, and out comes a nice smooth curve. Now I want to find the value of the smoothed curve for several values of x (the abscissa). This can be done (please correct me if I am wrong) by using the predict.gam function. You feed the predict.gam function a

I have a rather basic background in statistics, and am looking for assistance in solving what I expect is a common type of problem. I have measurements of physical processes, and mathematical models of those processes that I want to feed the measurements into. A simple case is using measurements of electric power entering and leaving a power conversion device, sampled at regular intervals, and

May I raise the issue of the behaviour of image()? In image() dim(z) is supposed to be c(length(x), length(y)). This suggests that the user is supplying the midpoints of the rectangles. For all but the outer rectangles this is true. The outer rectangles, however, are only displayed in half width. So it is not possible to show correctly an image plot of equally-spaced abscissa. I would hazard

#################################################################################### We have used maptools to construct state, county, township, census-tract, and zipcode level R maps with an Albers Conical Equal Area projection. We would like to be able to plot the location of weather stations or other point locations on the maps. The data the point locations are in latitude-longitude units

...unction(y) { sapply(y, function(y) { integrate(function(x) x*y, 0, 1)$value }) }, 0, 1) but I would like to use Gauss Quadrature to do it. I have written the following code (using R's statmod package) which works fine for one integral but it doesn't work for a double one: # Gauss-Legendre abscissas nodes <- gauss.quad.prob(25,dist="uniform",l=-1,u=1)$nodes # and weights weights <- gauss.quad.prob(25,dist="uniform",l=-1,u=1)$weights weights <- weights*2 # Approximate integral of f from a to b using Gauss-Legendre gauss_legendre<-function(f,a,b,nodes,weights) {...