similar to: Two lines, two scales, one graph

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 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

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

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

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

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.

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

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 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

Hi, I have a data set with two y variables (y1 and y2) and one dependent variable(x) and a 1 strata variable Z. It so happens that y1 and y2 have very different scales such that single y-axis scale doesnot allow the data to be visualized fully. I am trying the following lattce graphics to do my plot : xyplot(y1 + y2~x|Z,data=D,type="b") This provides the appropriate plots by due to

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

Hello, Could anyone tell me how to plot data on two different scales in the same axis in the same plot? Here is my quandary: The range of my X axis runs from 0 to 10, but the majority of my meaningful data lies between 7 and 10. The data from 0 to 7 is essentially noise. Is there a way for me to present my data such that the range from 0 to 7 takes up a smaller amount of space on the graph

Hi, i want to plot empirical cumulative density functions for two variables in one plot. For better visualizing the differences in the two cumulative curves I'd like to log-scale the axis. So far I found 3 possible functions to plot ecdf: 1) ecdf() from the package 'stats'. I don't know how to successfully set the log.scales? Combining two plots is not a problem: plot(ecdf(x1))

I using lattice to make some plots and I want to make the y-axis on some of these plots use a log scale. In the following plot: x <- 1:10 y <- 2^x xyplot(log10(y) ~ x) I get tick marks on the y-axis at 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0. I would rather have just 3 tick marks at 1.0, 2.0, and 3.0 but labeled 10, 100, and 1000. I know this can be done using the "at" and

Please read this first: http://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf It's a reasoned discussion of why it's a bad idea and proposes some alternative methods. Another good article is: K. W. Haemer. Double scales are dangerous. The American Statistician, 2(3):24?24, 1948. People have been advising dual-axis plots for (at least) 60 years! Hadley