Displaying 20 results from an estimated 694 matches for "0.15".
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0.1
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