similar to: Unicode

Gabriel Becker writes: AFAIK R does not automatically copy function arguments. R actually tries very hard to avoid copying while maintaining "pass by value" functionality. ... R only copies data when you modify an object, not when you simply pass it to a function. This is a bit misleading. R tries to avoid copying by maintaining a count of how many references there are to an

Folks: I would like to write two lines of text in two different font sizes (or faces or ...) as the title ("main") of a trellis plot. The following code does it, but not well: xyplot((0:1)~(0:1), main = textGrob(lab=c("Some Text","Some More Text"),y=c(.95,.8), gp=gpar(cex=c(1.2,1.0))) ) There is too much space between the title text and the plot. I assume

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

Hi all, I'm new to R, and have the following problem: I wish to draw a boxplot of simple data in two columns. The x-axis (taken from first column) is grouped to intervals (using 'cut'). These intervals serve as x-value to the boxplot, and the data from the second column are the y-values. The problem is that I want to give an impression of the trend of the data in the x-range.

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

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