similar to: ggplot usage question

Dear group, I tried to generate labels for every second tick in lattice (qqmath). Version: 0.14-16 Date: 2006/12/01 R version 2.4.1 (2006-12-18) An example: library(lattice) numy=100 y=runif(numy,min=0,max=1) sig=0.05 numsig=length(which(y<sig)) tck.no=11 # number of ticks tcks=1:tck.no labl=as.character(0.1*tcks-0.1) # label for all ticks labl[seq(2,tck.no-1,2)]="" # delete

Is there a way in ggplot to make a histogram with the left-hand y-axis label as frequency, and a right-hand y-axis label as percentage? Thanks! Pete

Hi, I'd like to use Latin Hypercube Sampling (LHC) in the the context of uncertainty / sensitivity analysis of a complex model with approximately 10 input variables. With the LHC approach I'd like to generate parameter combinations for my model input variables. Therefore I came across an simple example here on the mailing list (

Hi Group, Here is some data. p <- runif(1000) # sample data groups <- rep(c(1,2),each=500) #conditioning variable mydata <- cbind(p,groups) n <- length(p) u <- (1:n)/(n + 1) # uniform distribution reference for qqplot logp <- -log(p,base=10) logu <- -log(u,base=10) qqplot(logp,logu) How can I make the above qqplot in lattice and/or ggplot2. The sample is uniform, and I take

Dear all mailing listers, Does Anyone have the same problem as mine when using the fast99 (extended-FAST method) to perform SA of model with norm distribution inputs? See the simple example given following. Any suggestion will be greatly appreciated. Thank you! Marino # Simple example # 1. uniform version (It works well) library(sensitivity) Myfun<-function(x){return(rowSums(x))} SA1

I'm an R newbie but recently discovered the ggplot2 and reshape packages which seem incredibly useful and much easier to use for a beginner. Using the data from the IMDB, I'm trying to see how the average movie rating varies by year. Here is what my data looks like: > ratings <- read.delim("groomed.list", header = TRUE, sep = "|", comment.char = "")

Hello, I have the following data frame, using lattice and qqmath, how do I display the quantile plot (e.g distribution = qunif), but highlight the f==TRUE and f==FALSE differently? library(lattice) pp <- function(n) ((1:n)-0.5)/n x=data.frame(x=runif(20),f=sapply(runif(20),function(r) r>0.5)) I would like a single curve, the following example displays two curves.

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

Thank you very much Rob for your answer. I have some difficulties to understand how to apply my agent-based model to each parameter combination generated by the LHS, in particular when parameters are defined by probability distributions. Indeed, I have multiple parameters in my model: parameters which are defined by a single value (like ?temperature", "pressure?) and parameters which are

Code for this post is shown below.   Two issues: (1) grid.gedit doesn't work from source file Reproduce - copy the code shown below into an R source file, and of course save off in the appropriate location.  Then copy the the first line "source("C:/TestCode.R")" into R and run. Notice that you get the following error:Error in editDLfromGPath(gPath, specs, strict, grep,

>May 26, 2017; 11:41am Nelly Reduan Latin Hypercube Sampling when parameters are >defined according to specific probability distributions >Hello, > I would like to perform a sensitivity analysis using a Latin Hypercube Sampling (LHS). >Among the input parameters in the model, I have a parameter dispersal distance which is defined according to an exponential probability

(1) ...need to speed up a monte-carlo sampling...any suggestions about how I can get R to use all 8 cores of a mac pro would be most useful and very appreciated... (2) spent the last few hours trying to get pnmath to compile under os- x 10.5.4... using gcc version 4.2.1 (Apple Inc. build 5553) as downloaded from CRAN, xcode 3.0... ...xcode 3.1 installed over top of above after

The Runuran package includes a simulation for the Triangular Distribution, urtriang. But I didn't find an analogue of the q* functions (rnorm - qnorm, runif - qunif), that would invert the CDF (?uqtriang). Are there any such functions? Alberto Monteiro

Full_Name: Rob Carnell Version: 2.3.0 OS: Windows XP sp 2 Submission from: (NULL) (131.167.72.220) Thank you for all you work on R project! I noticed the following behavior today. It is what I believe to be an inconsistency. > qunif(.5, 0, Inf) [1] Inf > qunif(.5, -Inf, 1) [1] NaN Warning message: NaNs produced in: qunif(p, min, max, lower.tail, log.p) I believe they should yield the

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Hi everybody, I'm trying to create a numerical data frame on which to perform PRCC. So far I have created a data frame that consists of function/vector output that displays in numerical form, but when I try and run PRCC (from epiR package) I get the following error message: "Error in solve.default(C) : Lapack routine dgesv: system is exactly singular" It appears this is because