search for: 0.1875

Dear R help, I have some readings in three dimensions (x, y, z) and an amplitude for each. I'd like to visualize the data using ggplot, using tile plots, as I have some additional point data I would like to eventually overlay on the tile plots. I would like to subset the data by sections, slices if you will, in the z dimension, and plot the data for that slice. I can do all of this, but am

Dear WizaRds, I am struggling with the use of twophase in package survey. My goal is to compute a simple example in two phase sampling: phase 1: I sample n1=1000 circuit boards and find 80 non functional phase 2: Given the n1=1000 sample I sample n2=100 and find 15 non functional. Let's say, phase 2 shows this result together with phase 1: ...................phase1........

Thanks, that was a really helpful suggestion. If you're curious- here are some of the high cost areas: ===-------------------------------------------------------------------------=== DWARF Emission ===-------------------------------------------------------------------------=== Total Execution Time: 2.0117 seconds (2.0185 wall clock) ---User Time---

Using caret on the Titanic data from Kaggle, I tried various models, including rfRules which produces a model, partly described as such: > caret.rfRules.cv$finalModel $model len freq err [1,] "2" "0.0368" "0" [2,] "2" "0.032" "0.05" [3,] "2"

Linda Walsh <flac at tlinx.org> wrote: ... > That brings up another question then... What is 'hi' (v. low?)... Zero, or close to zero, is low. 12 is high. ... > What's a subset stream? This is explained at: http://flac.sourceforge.net/format.html in the bulleted point beginning, "FLAC specifies a subset of itself as the Subset format." ... > Another

width <- 7 height <- 5 # create whatever device type # and have cex=1 before setting par(mai=) windows(width=width, height=height, rescale="R") oldmai <- par("mai") par(cex=1) par(mai=oldmai) plot.new() par(usr=c(0,2,0,2)) par(cex=2) par1 <- par() text(1,1,"there is hardly anything i know for sure\nneither of the future nor of the past\nnor should i know what

Hi all, I have been trying to reproduce an analysis from Douglas Montgomery?s book on design and analysis of experiments. Table 6.10 of example 6.2 on page 246, gives a table as follows: > NPK <- expand.grid(A=mp,B=mp,C=mp,D=mp) > Rate <- c(45,71,48,65,68,60,80,65,43,100,45,104,75,86,70,96) > filtration <- cbind(NPK,Rate) > filtration A B C D Rate 1 - - - - 45 2

Dear users, Is anyone out there on a Saturday to answer this easy question? I have the "yo" object data in a "list" format: > str(yo) num [1:259, 1:173] 16.3 NA NA NA NA ... - attr(*, "dimnames")=List of 2 ..$ x: chr [1:259] "367319" "367329" "367309" "367339" ... ..$ y: chr [1:173] "780175"

Flake is a completely independent codebase. When I used it years ago, I remember it being not only better compression but significantly faster as well. I believe some of the techniques used in libflake were added to libFLAC in 1.1.4. However, some of the improved compression in flake was due to options that are outside the FLAC 'subset', such as larger blocksize, greater number of

Here is some timing information from running the Zig standard library tests: $ ./zig test ../std/index.zig --enable-timing-info Name Start End Duration Percent Initialize 0.0000 0.0010 0.0010 0.0001 Semantic Analysis 0.0010 0.9968 0.9958 0.1192 Code Generation 0.9968 1.4000 0.4032