similar to: short plots: lwd, margin and postscript behavior

Dear R People: Hope you're having a nice day. Here is a character vector: > yz [1] "pexp(3.2,rate=1)" > str(yz) chr "pexp(3.2,rate=1)" > And I would like to evaluate that vector. I tried: > eval(as.expression(yz)) [1] "pexp(3.2,rate=1)" > But that doesn't work. Any suggestions would be most welcome. I have a feeling that it's quite

Dear All, The InstCombine pass performs the following transformation. Z / (X / Y) => (Y * Z) / X This is performed only when operand Op1 ( (X/Y) in this case) has only one use in future. The code snippet is shown below. if (match(Op1, m_OneUse(m_FDiv(m_Value(X), m_Value(Y)))) && (!isa<Constant>(Y) || !isa<Constant>(Op0))) { // Z / (X / Y) => (Y *

Hola Carlos, Me parece que timePlot genera los gráficos en un formato diferente. Al ejecutar grid.arrange genera el siguiente error: Error in gList(list(list(plot = list(formula = value ~ date | default, : only 'grobs' allowed in "gList" Gracias. Atte. Novvier Uscuchagua De: Carlos Ortega [mailto:cof en qualityexcellence.es] Enviado el: viernes, 16 de junio de 2017 12:38

Hello, I have three numerical variables and I would like to test if their correlation is significantly different. I have seen that there is a package that "Test the difference between two (paired or unpaired) correlations". [https://www.personality-project.org/r/html/paired.r.html] However, there is the need to convert the correlations to "z scores using the Fisher r-z

So the general strategy for getting these into separate panels in ggplot is to have a single variable that will be your response and a factor variable that indexes which original variable it came from. This can be accomplished in many ways, but the way I use is with the melt() function in the reshape2 package. For example, library(reshape2) plotDF <- melt(SPYdf, ??? ??? ??? ??? ??? ???

For this kind of control you will probably need to move to base graphics and utilize the `fig` argument in par(), in which case you would want to run the plot() command twice: once with your first outcome and once with your second, changing the par() settings before each one to control the size. On 01/19/2018 01:39 PM, Eric Berger wrote: > Hi Charlie, > Thanks. This is helpful. As

Thanks for the reminder about lattice! I did some searching and there's a good example of manipulating the size of subplots using the `position` argument (see pp. 202-203 in the Trellis Users Guide: http://ml.stat.purdue.edu/stat695t/writings/Trellis.User.pdf). This is not within the paneling environment with the headers like in other trellis plots though, so you'll have to do a bit

Hi, I have a vector of strings (class character) with 6 elements (length 6). I call it 'names'. "Graham Chapman" "John Cleese" "Terry Gilliam" "Eric Idle" "Terry Jones" "Michael Palin" And I want to turn it into another vector of strings called 'shortnames' with the same length. The new vector should look like:

Hi Charlie, Thanks. This is helpful. As mentioned in my original question, I want to be able to plot a few such charts on the same page, say a 2 x 2 grid with such a chart for each of 4 different stocks. Using your solution I accomplished this by making a list pLst of your ggplots and then calling cowplot::plot_grid( plotlist=pLst, nrow=2, ncol=2 ) That worked fine. The one issue I have is that

[Sorry, resending with a proper subject line!] Hi Guru's... I have a set of points that may lie along any of the x, y and z axes in a Cartesian coordinate system. I am hoping that a function exists which will determine if any two selected points are on different axes, i.e, if the one of the points is on x and the other on y or z, not elsewhere on the x axis. Put another way, I need

That (the need for base graphics) is false. It certainly **can** be done in base graphics -- see ?layout for a perhaps more straightforward way to do it along the lines you suggest. However both lattice and ggplot are based on grid graphics, which has a similar but slightly more flexible ?grid.layout function which would allow one to size and place subsequent ggplot or lattice graphs in an

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I've written a function in R which takes a symmetrical matrix as input and processes all triplicate combinations of values from the matrix. The function looks something like: my_fun <- function(m) { if( nrow(mat) != ncol(mat) ) { stop("'m' must be a square matrix") } size <- nrow(m) for(x in 1:(size -2)) {

Hi everybody, i have a debian etch with samba 3.0.23c-4 (it's not the latest version) installed. this server is a member server (print server) of windows 2003 active directory domain - i'm using winbind to provide single sign-on. my problem is that i have a network printer HP Color Laserjet 2600n and it doesn't print using landscape orientation, just with portrait orientation. i'm

Could you provide some information on your data structure (e.g., are the two time series in separate columns in the data)? The solution is fairly straightforward once you have the data in the right structure. And I do not think tidyquant is necessary for what you want. Best, Charlie -- Charles Redmon GRA, Center for Research Methods and Data Analysis PhD Student, Department of Linguistics

Funciona perfecto! Gracias Carlos. Atte. Novvier Uscuchagua De: Carlos Ortega [mailto:cof en qualityexcellence.es] Enviado el: viernes, 16 de junio de 2017 13:46 Para: Novvier Marco Uscuchagua Cornelio <novvier en outlook.com.pe> CC: r-help-es en r-project.org Asunto: Re: Varios gráficos en una vista en OpenAir Hola, Prueba entonces esto, que sí que funciona... #-----------------------

Thank you, but this now sounds more difficult: what would be the point in having these ready-made functions if I have to do it manually? Anyway, How would I implement the last part? On Thu, Mar 23, 2023 at 1:23?AM Ebert,Timothy Aaron <tebert at ufl.edu> wrote: > > If you are open to other options: > The null hypothesis is that there is no difference. > If I have two equations

Hi Starting to use R as a serious tool, I have come across a programming problem that I can't see the answer too yet. Can someone advise me plese. The problem is that I want to plot a series of lines which represent short term growths. All the data is in a single vector and I can indicate the index via a second vector. In GLIM, if the second vector is a factor, a single $GRA Size Year

A couple more general comments: 1. There shouldn't be any correctness issues removing one-use checks (the transform should be safe independently of use-counts). 2. Ideally, you can remove a m_OneUse() from the code and run 'make check' or similar, and you will see a regression test failure because we have a 'negative' test to cover that pattern. That should make it clear that

Is there a simple way to decompose the upper triangle of a correlation matrix to a linear list; For example: X Y Z X 1 2 3 Y 2 1 4 Z 3 4 1 so you get a list like: xy 2 XZ 3 YZ 4 I suspect you can do it with a matrix transformation, but that beyond me at present. Many thanks Mark _________________________ Department of Molecular and Human Genetics, Baylor College of Medicine,

Hi Charlie, I am comfortable to put the data in any way that works best. Here are two possibilities: an xts and a data frame. library(quantmod) quantmod::getSymbols("SPY") # creates xts variable SPY SPYxts <- SPY[,c("SPY.Close","SPY.Volume")] SPYdf <- data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),