similar to: xyplot: problems with column names & legend

Hello, I am calling the following code with the loop! It makes 3 out graphs but empty! COuld you help me plase on that? Thank you in advance z1 <- dbConnect(MyData, "something", "A1", "A2") for (tt in c("xyz", "abc", "m1")) { message(paste("Here", tt, "!!!")) mydata <- dbReadTable(z1, tt)

Hello: I've come to a dead-end in my search for a solution to a graphing problem that I am encountering. I have used xyplot (from the lattice package) successfully to plot 36 time-series plots (lines) of under-5 mortality for a set of countries in Sub-Sarahan Africa. What I would now like to do is to add vertical bands (rectangles) that correspond to time-periods during which each of the 36

Hi R people Pulling my hair out here trying to get something very simple to work. Have a data frame of 774 rows and want to plot first and second half on same axes with different colours. A variable is present call 'row' created like this and checked to be OK: row <- seq( len=length( variable1 ) ) ...so I just want to plot the two subsets where row <= 387 and where row

Hi, I have a data.frame with columns named X, D1, D2, D3 I know I can get a single plot with 3 curves by doing xyplot(D1 + D2 + D3 ~ X, data) but in some cases I might have columns D1 ... D10. Is there a way to plot all 10 columns without having to specify each individual term? (By analogy with formulae in lm, I thought, xyplot(. ~ X, data) would work, but it didn't) Thanks, --

Hello, I've been looking for a solution to this problem for some time now but I seem unable to solve it.. so this is the case: I want to plot 4 time series in the same graph using xyplot(). When I do this with xyplot(mydata[,2]+mydata[,3]+mydata[,4]+mydata[,5] ~ mydata[,1], data = mydata, type = "l", auto.key = list(space="right", lines = T, points = F),

I have stumbled across something in the Lattice package that is vexing me. Consider the code below: __________________________________________________________ library(lattice) myData <- expand.grid(sub = factor(1:16), time = 1:10) myData$observed <- rnorm(nrow(myData)) myData$fitted <- with(myData, ave(observed, sub, FUN = mean)) myData$event.time <- with(myData, ave(observed, sub,

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Hello R-Helpers, I am not sure if it is a very simple question but I would like to use two (...) in a function, for example, this is a script where I would like to input the variable names (in one of the (...)) and the variances associated to those variables which are not calculated in the script because there is a specific software to calculate it (the other (...)) data <- function

Dear R users, A co-worker and I are writing a function to facilitate graph plotting in R. The function makes use of a lot of lists in its defaults. However, we discovered that R does not necessarily preserve the defaults if we were to input them in the form of list() when initializing the function. For example, if you feed the function codes below into R: myfunction=function( list1=list

I have a number of x, y observations (Time, Conc) for a number of Subjects (with subject number Subj) and Doses. I can plot the individual points with xyplot fine: xyplot(Conc ~ Time | Subj, Groups=Dose, data=myData, panel = function(x,y) { panel.xyplot(x, y) panel.superpose(???) # Needs more here } ) I also like to plot on

I have a data set like this ID=c("A","A","A","A","A","A","A","B","B","B","B","B","B","B") s=c(1.1,2.2,1.3,1.1,3.1,4.1,4.2,1.1,2.2,1.3,1.1,3.1,4.1,4.2) d=c(1,2,3,4,5,6,7,1,2,3,4,5,6,7) t=c(-3,-2,-1,0,1,2,3,-3,-2,-1,0,1,2,3)

After a long and winding road (sorry but I'm a novice) I get to a final result which is quite close to what I need; nevertheless I would like to tweak a little further the xyplot so that I can get ***for each single panel defined by variable z*** a finer control over: -the x and y the limits: I would like to be the same for both axes; -the number of thick marks: again I would like to be same

I have a data set like this ID=c("A","A","A","A","A","A","A","B","B","B","B","B","B","B") s=c(1.1,2.2,1.3,1.1,3.1,4.1,4.2,1.1,2.2,1.3,1.1,3.1,4.1,4.2) d=c(1,2,3,4,5,6,7,1,2,3,4,5,6,7) t=c(-3,-1,0,1,2,3,4,-3,-2,-1,0,1,2,3)

Hi there, I have a huge dataframe containing 70,000 observations. I have filtered this dataframe (let it's name be "transformed_dataframe") as I wanted to select only those observations which are greater than or equal to 60,001 regarding the very first identity column. So I have a transformed dataframe now including 10,000 obeservations (from 60,001 - to 70,000) and if you send

I'm not seeing how to plot the quantities associated with two values of a factor by reading the ?xyplot help page and Deepayan's book. Perhaps I need to generate many different subsets from the data frame, but that would require _many_ new data frames. The structure of the data frame (for a single stream) has sites (factor), a date (as.Date), parameters (factor), and quantities

Playing with ggplot, something I'd promised myself I'd get around to. I've the following scenario: library(lattice) library(ggplot2) myData <- data.frame( x = rnorm(100), y = rnorm(100), group = 1:4 ) xyplot(y ~ x | factor(group), data = myData, layout = c(2, 2)) qplot(x, y, facets = ~ group, data = myData) In this code the lattice example gives me a 2x2 layout, whereas

Does anybody know how in xyplot to put the legend title on one line with the legend? I can get the legend on one line with columns=... but the title is always on top. I tried a custom key with key=... and text=... but I can't put the title text in front of the plotting symbol. I am looking for the following layout of the legend, on one line: "Legend Title:" + plot symbol1 + legend

Hello, adding the line: space = 'inside' to my xyplot() call provides a partial solution to the problem I have.. However, this command puts the key in the left upper corner when I want in the left upper corner. Looking at the help provides no additional options for the "inside", but surely this must be possible somehow? BR, Jay

Hi, I want my xyplot legend to be flat, not tall, and there seems to be no way for xyplot's auto.key and key elements to do this: I tried many, many permutations of what I could find in the archives and reading the documentation. If there there's a way to make it flat, please tell me what the magic incantation is. Here's a simple example of what I like to see. The xyplot will be a

Hi Folks, I have data with a format like: ID y param1 param2 groupingFactor1 groupingFactor2..... 1 ... 1 1 1 2 2 2 2 3 3 3 so several grouping factors and repeated measures. I am using trellis and xyplot to get plot with several grouping factors. something like xyplot(y~x|grouping1*grouping2, data=na.omit(mydata), panel=function{panel.xyplot(x,y);....}); Lets say x is the