search for: 0.15

Displaying 20 results from an estimated 694 matches for "0.15".

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2012 Jul 30
2
distance matrix and hclustering
Dear R Users,i am very new to R. I want your help on an issue regarding distance matrix and cluster analysis i had discharge data of 4 rivers(a,b,c,d) in 4 vectors each having 364 values > dput(qmu)structure(list(a = c(0.26, 0.25, 0.25, 0.25, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.2, 0.19, 0.19, 0.19, 0.19, 0.18, 0.18, 0.18, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17,
2011 May 06
1
read a netcdf file _Fill_value=-32768
Hello I am a new user of R . and I ve problem with R and netcdf . I succed installation , I could use all examples . But when I take my netcf it is different . I want to do statistic on this kind of file . 1) first calculate mean . my data is like that through ncdump -h test.nc netcdf test { dimensions: lat = 301 ; lon = 401 ; time = UNLIMITED ; // (80 currently)
2019 Jul 11
0
[ANNOUNCE] libpciaccess 0.15
In this release: - Updates for FreeBSD and Hurd support - Fixed multifunction bridge enumeration - Fixed a crash when no PCI bus exists Full changelog: Adam Jackson (1): libpciaccess 0.15 Alan Coopersmith (2): Update README for gitlab migration Update configure.ac bug URL for gitlab migration Conrad Meyer (1): freebsd: Add !legacy open_device_io implementation Damien
2006 Jun 25
1
Puzzled with contour()
Folks, The contour() function wants x and y to be in increasing order. I have a situation where I have a grid in x and y, and associated z values, which looks like this: x y z [1,] 0.00 20 1.000 [2,] 0.00 30 1.000 [3,] 0.00 40 1.000 [4,] 0.00 50 1.000 [5,] 0.00 60 1.000 [6,] 0.00 70 1.000 [7,] 0.00 80 0.000 [8,] 0.00 90
2008 Oct 01
1
Please help me to produce smoothed contour plots
Please help me to produce smoothed contour plots. I have dependent data generated at regular intervals of two independent variables and would like to produce smoothed contour plots - I cannot get interp (alima) to produce cubic interpolations of the data, only linear ones. I'm interested in smoothing as the data generation process is stochastic and produces small variations which I'd
2007 Apr 25
1
help
Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1
2010 Nov 03
4
Drawing circles on a chart
Dear Group, I have the following data matrix which is a timeseries. > dput(tData) structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09, 0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01, 0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06, -0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04, -0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,
2011 Jul 08
1
Getting wrong NA values using "for" cmd
Hi There, I'm facing one problem to construct a vector using the "for" command: I have one matrix named 'dados' (same as /data/ from portuguese), for example: > dados[140:150,] [,1] [,2] [,3] [1,] 212.7298 0.14 0.11 [2,] 213.3778 0.14 0.11 [3,] 214.0257 0.15 0.11 [4,] 214.6737 0.15 0.12 [5,] 215.3217 0.15 0.12 [6,] 215.9696 0.15 0.12 [7,] 216.6176 0.16
2006 Jul 01
0
SUMMARY: making contour plots using (x,y,z) data
Folks, A few days ago, I had asked a question on this mailing list about making a contour plot where a function z(x,y) is evaluated on a grid of (x,y) points, and the data structure at hand is a simple table of (x,y,z) points. As usual, R has wonderful resources (and subtle complexity) in doing this, and the gurus of the list showed me the way. Here's a complete working example. One might
2015 Nov 11
3
Selección de elementos de dos listas
Hola La duda que tengo es la siguiente Quiero coger elementos de unas listas de valores y que haga un bucle con unas condiciones: que no sean iguales k y z y que si ha hecho la simulación para, por ejemplo 0.1 y 0.15, no lo haga para 0.15 y 0.1 (es decir tener combinaciones de esas litas) La primera condición es fácil, pero con la segunda lo conseguido creando una lista en txt y que la lea
2007 Nov 20
2
as.character(seq(-.35,.95,.1))
> as.character(seq(-.25,.95,.1)) [1] "-0.25" "-0.15" "-0.05" "0.05" "0.15" "0.25" "0.35" "0.45" "0.55" "0.65" "0.75" "0.85" "0.95" > as.character(seq(-.35,.95,.1)) [1] "-0.35" "-0.25"
2005 Aug 30
1
ffmpeg2theora 0.15 release
because it was so much fun and 0.14 lost half of its frames, here comes ffmpeg2theora 0.15 Binaries http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.linux.bin.bz2 http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.dmg http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.exe Source http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.tar.bz2 More Info
2005 Aug 30
1
ffmpeg2theora 0.15 release
because it was so much fun and 0.14 lost half of its frames, here comes ffmpeg2theora 0.15 Binaries http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.linux.bin.bz2 http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.dmg http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.exe Source http://v2v.cc/~j/ffmpeg2theora/ffmpeg2theora-0.15.tar.bz2 More Info
2009 Oct 01
10
ffmpeg2theora 0.25 synchronization issues when converting from .mov
Has anyone noticed this? I have a video made with Final Cut Pro, which I convert to .mov via Compressor. This .mov file plays back fine in Quicktime. But when I then use ffmpeg2theora to convert to ogv, the video seems to play back too fast compared to the audio (I'm using VLC 1.0.2, the latest I believe, to play back the ogv file, and I also have an app that uses the recently
2008 Oct 01
0
cubic bivariate interpolation on regular grid
Please help me to produce smoothed contour plots. I have dependent data generated at regular intervals of two independent variables and would like to produce smoothed contour plots - I cannot get interp (alima) to produce cubic interpolations of the data, only linear ones. I'm interested in smoothing as the data generation process is stochastic and produces small variations which I'd
2009 Jun 16
3
How to subset my dataframe? (a bit tricky)
Hi R-helpers, I would like to subset my dataframe, keeping only those rows which satisfy the following conditions: 1) the string "dnv" is found in at least one column; 2) the value in the column previous to the one "dnv" is found in is not "0" Here's what my data look like: ??? POND_ID 2009-05-07 2009-05-15 2009-05-21 2009-05-28 2009-06-04 4 ? ? ? 101 ? ? ?
2012 Aug 10
1
Solving binary integer optimization problem
Hi, I am new to R for solving optimization problems, I have set of communication channels with limited capacity with two types of costs, fixed and variable cost. Each channel has expected gain for a single communication. I want to determine optimal number of communications for each channel maximizing ROI)return on investment) with overall budget as constraint.60000 is the budget allocated.
2008 Apr 18
0
CESA-2008:0223-02: Critical CentOS 2 i386 seamonkey security update
The following errata for CentOS-2 have been built and uploaded to the centos mirror: RHSA-2008:0223-02 Critical: seamonkey security update Files available: seamonkey-1.0.9-0.15.el2.c2.1.i386.rpm seamonkey-chat-1.0.9-0.15.el2.c2.1.i386.rpm seamonkey-devel-1.0.9-0.15.el2.c2.1.i386.rpm seamonkey-dom-inspector-1.0.9-0.15.el2.c2.1.i386.rpm seamonkey-js-debugger-1.0.9-0.15.el2.c2.1.i386.rpm
2008 May 17
1
tapply and grouping
Hello all, I have a df like this: w <- c(1.20, 1.34, 2.34, 3.12, 2.89, 4.67, 2.43, 2.89, 1.99, 3.45, 2.01, 2.23, 1.45, 1.59) g <- rep(c("a", "b"), each=7) df <- data.frame(g, w) df # 1. Mean for each group tapply(df$w, df$g, function(x) mean(x)) # 2. Range for each group - fix value 0.15 tapply(df$w, df$g, function(x) x[(x > mean(x) -
2010 Nov 29
1
surpressing tickmarks / labels x-as for two sets of boxplot (plotted as stacked boxplots)
Hello, I am trying to plot two sets of boxplots together. These are estimates of two experiments and?seven?factors. The results of the two experiments I want to plot as boxplots stacked to each other. Therefore I plot first the results of the first experiment; and next with the add option the second set of boxplots. The boxplots are plotted at 'at = 1:7 - 0.15 for the first experiment and