similar to: Boxplot with full x-range

I have a data set that I display using barplot. I don't know what you call it, but when I look at it, it looks like this: > lsu (0,0.1] (0.1,0.2] (0.2,0.3] (0.3,0.4] (0.4,0.5] (0.5,0.6] A 0.052631579 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 B 0.000000000 0.000000000 0.001007049 0.003021148 0.000000000 0.000000000 E 0.200000000 0.000000000

Dear list, I have a dataframe with two column as fellow. > head(dat) V1 V2 0.15624 0.94567 0.26039 0.66442 0.16629 0.97822 0.23474 0.72079 0.11037 0.83760 0.14969 0.91312 I want to get the column V2 mean value based on the bin of column of V1. I write the code as fellow. It works, but I think this is not the elegant way. Any suggestions?

Hi All, I have a column that contains values between 0 and 1. I would like to make a table that consists of the number of elements in each category. For example , how many elements have values between 0 and 0.1, 0.1 to 0.2, 0.2 to 0.3,etc??..0.9 to 1. Is there an easy way to do this? Thanks -- View this message in context:

Dear R community, I have a medium sized matrix stored in variable "t" and a simple function " countRows" (see below) to count the number of rows in which a selected column "C" matches a given value. If I count all rows matching all pairwise distinct values in the column "C" and sum these counts up, I get the number or rows of "t". If I delete the

Dear R Community! We analyse the impact of climbing activity on cliff vegetation. During our fieldwork, we recorded 90 Transects in 3 climbing sites. The aim is to see, if the plant cover (response: Cover) is influenced only by crevice availability (predictor: Cracs), or, additional, by the distance to the climbing route (predictor: Distance). Six plots are nested within one Transect

Hi, I need a help. I am new in R and I need to run a nested anova with fixed and random factors (Mixed Model). I have a design with three factors: Day, Area and Plot and the dependent variable is density. The factors Day and Area are fixed while Plot is random, factor Area is nested in factor Day, and factor Plot is nested in Area. I can do it using aov by: mod1<-aov(density~ day +

Hi all, I'm trying to filter data into respective numbers. For example, if the data ranges from 0 to <0.1, group the data. And so on for the rest of the data. There are inconsistencies in the output. For example, b1[[3]] lumps all the 0.2s and 0.3s together while 0.6s are not in the output. Running the function - table(f1) - shows that each of the components/numbers has x number of

Dear all, I have a function MYFUN which depends on 3 positive parameters TETA[1], TETA[2], and TETA[3]; x belongs to [0,1]. I integrate the function over [0,0.1], [0.1,0.2] and [0.2,0.3] and want to choose the three parameters so that these three integrals are as close to, resp., 2300, 4600 and 5800 as possible. As I have three equations with three unknowns, I expect the exact fit, i.e., the SS

Hi all, I need to enlarge te fonts used oo R-plots (plots, histograms, ...) in labels and titles etc. I seem to be unable to figure out how to do it. The problem is that the titles of the plots are simply unreadable when I insert them into my LaTeX text, since they are relatively small compared to the entire plot. I am sure it is pretty simple, can anybody give me a hint ? Please reply

Hi all, Never really managed to build a for-loop with multiple running variables in an elegant way. Can anybody hint ? See below for an example of what I would like. EXAMPLE a<-c(1,2,3) b<-c("name1","name2","name3") for( number in a, name in b ) { print( number ) ##take a value print( name ) ##and have its name available from a second list } Does R

Hi all, I'm fitting a linear model (using lm) to some 2500 data points. The model consists of 4 single terms and two combined terms. I get the following warning message: "Extra arguments projections are just disregarded. in: lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) " Can anybody clarify this ? I don't seem to find any pointer to what this might

Hi all, I am faced with the situation where I want to store/analyze relatively large, organized sets of numerical data, which depend on a number of conditions (biological properties, exposure times, concentrations etc etc). Imagine about a hundred dataframes of a few thousand numerical values, with some annotation in text for some entries. Intuitively, I would like to be able to slice

Dear R-Help, I've had some problems installing the R 1.7.0 binary on Windows XP Professional. If I launch R from the Start Menu or the Desktop, R crashes. However, if I launch by double-clicking on an .RData file, R loads up just fine. I've never had any problems with previous versions/OS. Has anyone else encountered this problem? Thanks! Simon

Dear all, I'm trying to find a clear explanation of what the 'proj(lm)' function produces after having fit a linear model using 'lm'. I find the help page on the proj() function highly unclear (surely part to my limited knowledge of statistics). Can anybody provide a pointer to a clearer explanation, preferable containing some examples of the calculations involved ?

Folks: Winnt; R1.7.0 (freshly installed) running under Rgui.exe.,MDI=yes. The following is repeatable: On startup, in my Rprofile.site file, I use winMenuAdd() etc. to install some user menus. However, they do not appear when R GUI window opens. If I minimize and restore the window, the added menus now are present. The exact same procedure under 1.6.2 with exactly the same Rprofile.site and

Dear All, I am producing a figure with many curves on it. How do I make the legends for all those curves smaller so that it can fit the figure itself? The commands I used for ploting are: plot(x1,y1,col=1,lty=1) lines(x2,y2,col=2,lty=2) ... legend(0.3,0.4,c("name1","name2",...),col=1:20,lty=1:20) Any tips for making the legend fit the figure will very welcome! Thanks! Best,

R1.7.0, Win2k: When I use plot( ) on a groupedData object, if I have 165 subjects I'm supposed to be able to use plot(..., layout = c(5,3,11)) to get all 165 on 11 separate sheets. The graphics window is only displaying the first 10. If I use plot(..., layout = c(5,3,12)) I get the appropriate 11 sheets. Furthermore, yesterday I noticed that when using plot( <linear model object> )

I am trying to display data ion top of colored rectangle on the same levelplot. While using superpose the shape and symbol for levelplot changes to small circle. I am unable to figure what exactly I am doing wrong... It may be straightforward solution... .I will appreciate help to fix this issue.

Hello, can somebody explain me why the following program does not work? Which pages of Unicode are implemented? the u22xx and 2Axx are math symbols and extensions Thanks Heberto Ghezzo Montreal plot(1) text(1.0,1.2,"a \u2A8A b \u222C c \u5222 d", cex=2) text(1.0,1.1," \u222C ", cex=2) text(1.0,1.0,"b \u222C c", cex=2) text(1.2,1.0,"c \u5222 d", cex=2)

All, I'm witnessing some strange behavior when checking the values of one of my variables. My guess is that it has something to do with the number of significant digits being represented, but perhaps not as my variable was created from other variables that only had one decimal place. See below. I'm sure this is something basic, any suggestions much appreciated. Cheers, David >