similar to: plot

Hi all... How do i set U32 to filter a port range, instead of a single port? In normal use: source port 80 we use: "... match ip sport 80 0xffff ..." - I know that is something about the 0xffff parameter.... I need to filter ports 1 ~ 1024 to a higher priority class... i tried with IPTABLES MARK and TC FW, but it''s not working.... (...) # iptables -t mangle -A PREROUTING -p

I feel a bit embarassed by this, but I have not managed to find out how: I have a data frame containing measurements over time for a number of different locations: > str(milk) `data.frame': 845 obs. of 3 variables: $ date : num 1987 1987 1987 1987 1987 ... $ value : num 5 1 2 5 1 1 2 3 2 4 ... $ location: Factor w/ 36 levels "Alta","And?y",..: 1 1 1 1 1 1

I''m using standard barplot (Windows version 1.6.2 of R) to represent a certain weekly metric "v" and I would like to properly overlay on top of it its moving average "mean.8" (window of 8 weeks). I must be doing something wrong since the moving average (using "lines") doesn''t overlay properly, i.e., both x-scales do not match! ...

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I need to make a fairly complex animated graphic and decided to use grid for it. A very simple example of what I need: ##============================================================================== library(grid) grid.newpage() pushViewport(plotViewport()) pushViewport(viewport(xscale = extendrange(c(0, 100)), yscale = extendrange(c(0, 100)))) grid.xaxis() grid.yaxis()

I am testing out the grid-plots, but get into a problem making a legend. I have a line plot and some points, following the model in grid.plot.and.legend() i manage to get the points correctly in the legend, but what do I do with the line? (Of cource, I can just draw a line at the right location on the plot, but I would prefer to use legend) Morten -- Morten Sickel Norwegian Radiation

Hi, How would I go about plotting all 8 columns of a data.frame on a simple line graph. i.e. eight lines and sets of points, differentiated by line pattern or colour)? An what further arguments would I need to invoke a log scale on the y-axis of that same plot (normal x-axis)? Cheers, Jeremy

How do I plot using multiple(2) y-axes? I have two series that use the same x-data, but have very different scales. Appreciate any feedback, Per Bak

Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of my 2 groups. (see picture) Unfortunately I need a larger scale to read the exact prediction of my groups to get the specificity and sensitivity. I tried to change the scale with "axis" but it didn't work, my guess because it's not a normal graph with x and y axis. Has someone an idea

Hi, I'm trying to use Grid plots and would like to have an X axis that represents dates. I have several years of data so I would like to be able to have labeled tick marks only intermittently (not one per date). I can transform the initial data from a date time string into POSIXlt or POSIXct, or Date objects. The issue is that when I try to layout the plot using: dev.off() pushViewport(

I am making a plot from R indicating an average, min and max value for a number of sample types. as horizontal lines with the sample types on the y-axis. (see http://home.newmedia.no/sickel/R.html for the plot and code) In some cases, the min value is the detection limit, and I would like to indicate that bu using a <, rather than the usual | I use for indicating the value. I am plotting each

Hi, I am trying to plot odds ratios and the corresponding confidence intervals in horizontal segments. It would be ideal if the confidence interval segment can be drawn with little vertical bars at both ends. I have tried very hard to change the type of ends by using 'lend' arguments, but cannot make it. I even tried 'arrows()', but still failed. Following is the code I use:

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

I try tu use mob() with my data.frame ('data.frame': 288 obs. of 81 variables; factors, numerics and ordered factors) My response is a binary variable and I should use for modelling a logistic regression (family=binomial). I read in the "MOB" Vignette that I could use a formula like this if I would like to have only partitioning variables apart from the response.

I have a huge frame holding holding model results for a number of locations and time series: > str(tonedata) `data.frame': 434 obs. of 339 variables: $ VALUE : int 101 104 105 106 111 118 119 121 122 123 ... $ COUNT : int 2443 184 1539 1016 132 1208 1580 654 864 560 ... $ AREA : num 6.11e+08 4.60e+07 3.85e+08 2.54e+08 3.30e+07 ... $ D1_1958 : num 470 446 452 457 407 ...

plot.ts has an argument yax.flip, plot.zoo does not. Is there a way to make the yaxis flip in plot.zoo? I tried using a custom panel function: panel.yaxis<-function(...) { npnl<-parent.frame$panel.number if (npnl %% 2 == 0) { axis(side=3) } else { axis(side=2) } } This leads to a blank window. I am stuck with the intricacies of the plotting and axis

Dear List, I am working with a small (3 columns and 9 rows) data table, which contains 9 observations, their mean values and standard deviations (I extracted these data from a huge set and I cannot use the original data). I plotted means (y-axis) and the observations (x-axis) using the " plot() " command. However, I am not sure how to plot the standard deviation data on top of this. This

I have some code as shown below. Basically, I would like three boxplots to be set next to each other with no ylabels on the two "inner" plots, and I want the same x axis range on all three. However, it seems like boxplot does not respect the xlim setting. I've tried the various ways I thought would work (par, boxplot(...xlim=)) but none of them seem to work. I then tried plot.window,

I am quite new to R, so please bear over with me if I have problems with the R terminology. I want to (try to) use R for some analyses within vegetation ecology, using the vegan package. I have my data in a postgresql database, and I manage to get them into R as a dataframe with columns for respectively: Name of the analysed m2, Name of the species, coverage of species in the square in %. I

Hello, I am trying to create a graphic to help me visualise data. A (very simplified) sample of the data is http://n4.nabble.com/file/n1839676/circle_data.txt circle_data.txt : Aug-07 Nov-07 Feb-08 data1 1 1.5 -1 data2 1 1.2 1.6 data3 1.3 1.4 1.8 data4 1.3