similar to: FW: Combined grouped and stacked bargraph

Dear R list, I am having some trouble drawing a bar-graph with two groups, both of which are stacked. A sample of my data (IUCN and national conservation status for marine and terrestrial species) look like this: Status IUCN Terrestrial IUCN Marine National CS Terrestrial National CS Marine NE 168 69 16 69 LC 41 6 148 6 NT 5 4 7 4 VU 4 2 7 2 EN 4 2 4 2 CR 1

Dear All, I am trying to build a stacked bar plot, where I define the colours to use. I have asked this before, and I was using a solution in http://thread.gmane.org/gmane.comp.lang.r.general/100649/focus=100673 (thanks, Thierry). However, it looks this works only when the data are in the sequence of the levels in the factor defining the fill colours. When the sequence is different, the

Hello R usuer, The code given below superimposes a pie diagram on another plot containing some points. However, I would like to center the pie diagram on the xy location on the plot, but not on the center. is there any way to re-center pic diagram. Any suggestion or better alternative are highly appreciated. Thank you in advance for your help. Regards, Bibke library(visualFields) library(car)

Dear all, I have a question about the lattice package, more specifically about the control of the x-axis length in the different panels. I use the following code to make the stacked barchart: barchart(country ~ climatechangefocalpoint + meteorologyservice + adaptationorvulnerability + cdmcarbonmarkets + energy + aviationmaritimetransport + forestry + pressofficer|period, data=graph5,

Hi, This is another question relating to my 2 factor figure. densityplot(~End-Begin | Type * Chromosome, data=Mon, layout=c(5,12), xlab="Element Length",type="percent", col="grey60", strip=strip.custom(style=3, bg="grey90", par.strip.text=list(cex=0.5))) I would like to flip the plot so those at the bottom are at the top and so on. I have tried using a

The data is of two forms, ie one numeric and another ordinal ie 1.5 and <.5. The X Value is a factor. I'm trying to create a lattice conditioned plot with the following characteristics: 1) The plot is conditioned using the form (Conductivity~Day|Valve) 2) The plot should use a barplot for the ordinal (<.5) and dots for the numeric (1.5) 3) A line should be created specifying a

Dear R helpers I would like to be able to colour code the y-axis labels on a complex dot plot by a variable known as company (of which there are only two). The code is below and data attached. Thanks MarkM library("lattice") library(latticeExtra) # for mergedTrellisLegendGrob() # set size of the window windows(height=10, width=7,rescale=c("fixed")) ##read the data to a

Ok, now we have the mapping of color names to color codes (see below) and conversion to rgb (something like Ben Bolker's function), but how to convert rgb to hsv? Thanks to Brian Ripley, Peter Dalgaard and Ben Bolker Details below Regards Jens etc/colors.big maps 455 names to rgb in S syntax etc/rgb.txt maps 657 names to rgb in C syntax, but unlike colors() it has mixed upper and

Thanks for the quick reply Rowland >Never ran an RODC (yet), but this all sounds like the problems that >used to occur when joining a second DC, try reading this: >https://wiki.samba.org/index.php/Verifying_and_Creating_a_DC_DNS_Record I Checked this, both the A record and the objectGUID CNAME records exist for DC1 and DC2 on bth servers. >You could try restarting Samba, there is

Number of subjects = 25 Mean of Sample = 77 Standard Deviation (s) = 12 sem = 2.4 df = 24 The claim is that population mean is less than 80 * > 80 So our H0 (null hupotheis) is * > 80 > qt(.95,24) [1] 1.710882 > qt(0.05, 24) [1] -1.710882 tstat = -1.25 on t24 falls between 1.711 (.95,24) and *1.711 (.005,24) How Could I sketch t curve for the above data where my * would be at the

Hi, I'm making a multipanel lattice densityplot figure with 2 factors (3 and 20 classes in each factor) with the following statement (the type="percent" is there to prevent plotting the actual points which detract from the figure - is there another way of doing this?): densityplot(~End-Begin | Type * Chromosome, data=Mon, layout=c(5,12), xlab="Element

Dear R helpers I would like to move the x-axis labels, which plot automatically at the base of a dot plot to the top of the plot. Is there a way to do this? Code snippet below with(Cal_dat, dotplot(reorder(paste(Mine,Company), Resc_Gt) ~ Resc_Gt, fill_var = Commodity, pch_var = factor(Year), xlab_var = factor(Company), pch = c(21, 22, 23),

Dear List, I am familier with binary models, however i am now trying to get predictions from a ordinal model and have a question. I have a data set made up of 12 categorical predictors, the response variable is classed as 1,2,3,4,5,6, this relates to threat level of the species ( on the IUCN rating). Previously i have combined levels 1 and 2 to form = non threatened and then combined 3-6 to

I'm working on a package to produce graphic displays of 2- and 3-way tables and need some help/advice on how to simplify the specification of a complex argument that gives the drawing details for each cell of the table. Prototypes of two functions, 'tableplot' and 'cellgram' are given below. The essential idea is that for a given table ('values'), the cells can be be

Hi, Assuming that your dataset is similar to the one below: set.seed(25) dat1<- data.frame(Algae.Mass=sample(40:50,10,replace=TRUE),Seagrass.Mass=sample(30:70,10,replace=TRUE),Terrestrial.Mass=sample(80:100,10,replace=TRUE),Other.Mass=sample(40:60,10,replace=TRUE),Site.X.Treatment=rep(c("ALA1A","ALA1U"),each=5),stringsAsFactors=FALSE) library(reshape2)

Hola amigos, esta es mi primera duda, espero que no sea demasiado fácil. Tengo unos datos de dos variables y quiero mostrar recta de regresión y valor de correlación serie0 <- c(0.651, 0.712, 0.614, 0.645, 0.559, 0.647, 0.642, 0.534, 0.616, 0.621, 0.623) serie1 <- c(0.572, 0.641, 0.565, 0.596, 0.518, 0.604, 0.602, 0.501, 0.58, 0.589, 0.596) data <- cbind(serie0, serie1) colnames(data)

Hi - I'd like to have the area between 2 lines on a x-y plot be filled with grey, but I haven't had any luck using polygon or rect. (In reality, I'd like to do this for twice - once for a low group and once for a high group - and then I'd like to plot a set of data points for a 'normal' group together with these 2 grey areas.) Here's a simple example of the 2 lines:

Hi: I am a very recent user of R 1.40 for MacOSX and went through the help files but did not not find the function that I am looking for. I have two comma separated files which I want to partly combine. File 1 has 49670 lines and 26 columns (separated by commas) and looks like this: ...

Hi, I have a question which is a little off-topic but then again, it should stay in the boundaries of what can be done with available R functions. Has anyone pointers to tutorials or the like where one can get inspiration on how to visualize some "spatial" statistics? I want to analyze different statistics of 60 counties in a country. I have a shape file for those counties thus I can

Hello, I need plot map using ggplot() I use such code: library("ggplot2") library(cshapes) cshp.data <- cshp() map <- cshp.data[cshp.data$COWCODE==369,] map_mp<- list( geom_polygon(aes(long, lat, group = group), data = map, fill = "grey70", colour = "grey60", inherit.aes = FALSE, show_guide = FALSE), scale_x_continuous("",