RE: [R] Density Estimation
help.search(kernel density) reports KernSec(GenKern)Univariate kernel density estimate KernSur(GenKern)Bivariate kernel density estimation bkde(KernSmooth)Compute a Binned Kernel Density Estimate bkde2D(KernSmooth) Compute a 2D Binned Kernel Density Estimate dpik(KernSmooth)Select a Bandwidth for Kernel Density Estimation kde2d(MASS) Two-Dimensional Kernel Density Estimation amongst others, and package sm also has a user-friendly selection. So, apart from point out alternatives I wanted to point out how easy it was to find the information originally requested. On Sat, 10 Apr 2004, Ko-Kang Kevin Wang wrote: -Original Message- From: [EMAIL PROTECTED] Dear Sir/Madam; Would you please tell me what is the command that allows the estimation of the Kernel Density for some data. Thanks, ?density -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UKFax: +44 1865 272595 __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Automation of c()
Hi, I have around 300 files with the x, y and z coordinates of a DEM that I would like to join in a single data frame object. I know how to automate the import of the 300 data frames. in Bash ls names in R names-scan(names...) With rep() and data.frame() construct a series of read.table() commands, which you write to a file and execute them with source(). I do not know however how to automate the combination of the e.g. x vectors from all imported data frames in a single vector avoiding the manual writing of all the imported data frame names. Thanks in advance, Miha __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Automation of c()
I have around 300 files with the x, y and z coordinates of a DEM that
I would like to join in a
single data frame object. I know how to automate the import of the
300 data frames.
I do not know however how to automate the combination of the e.g. x
vectors from all
imported data frames in a single vector avoiding the manual writing
of all the imported
data frame names.
Why not concatenate all the data files under Bash?
cat *.dat alldata.txt
You can then read 'alldata.txt' with a single read.table
Or, if you need to keep the file names in the data frame:
awk '{print FILENAME,$0}' *.dat alldata.txt
Or am I missing something?
Christophe Pallier
www.pallier.org
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Re: [R] Automation of c()
Miha STAUT wrote: Hi, I have around 300 files with the x, y and z coordinates of a DEM that I would like to join in a single data frame object. I know how to automate the import of the 300 data frames. in Bash ls names in R names-scan(names...) With rep() and data.frame() construct a series of read.table() commands, which you write to a file and execute them with source(). It's simpler, all can be done within R: names - list.files() dat - read.table(names[1]) for(i in names[-1]) dat - rbind(dat, read.table(i)) This example is quite ugly and maybe slow (I guess for huge data frames, the solution presented by Christophe Pallier will be faster), in particular the rbind() calls. If all data.frames have the same nrow(), one can improve quite easily... Uwe Ligges I do not know however how to automate the combination of the e.g. x vectors from all imported data frames in a single vector avoiding the manual writing of all the imported data frame names. Thanks in advance, Miha __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] all poss. regression
Dear R People: Is there an all possible subsets function in regression, please? Typically, I use the step function. A student asked me about the all possibles. Thanks in advance! R 1.8.1 Windows Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: [EMAIL PROTECTED] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] all poss. regression
Look at package leaps. Note that it applies to columns of the design matrix and not terms, so can be nonsensical with categorical predictors (let alone interactions of such). On Sat, 10 Apr 2004, Erin Hodgess wrote: Dear R People: Is there an all possible subsets function in regression, please? Typically, I use the step function. A student asked me about the all possibles. Thanks in advance! R 1.8.1 Windows -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UKFax: +44 1865 272595 __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] (offtopic) I need two sets of 5 different color scales
Hi, I am plotting a policy function (result from a dynamic stochastic optimization problem, discretized approximation). The policy function maps from an 2 x 2 x 2 x 3 x B x F state space to a B x F state space (B and F are usually between 4-6, and represent domestic and foreign savings. The other variables are income (Y), inflation (Pi), domestic and foreign interest rates (R and Z)). I actually wrote a plotting function to represent all this, the result is attached -- please have a look at it and help me... I need advice in the following: I need two sets of colors for B and F which are easy to distinguish (when printed on a color laser printer), represent cardinality (ie have an intuitive mapping to an interval) or at least ordinality. I have experimented with the following: Bcolors - hsv(.6, seq(0.2, 1, length=5), 1) Fcolors - hsv(seq(.1,0, length=5), seq(0.2, 1, length=5) this is what you see in the plot. What colors would you use? Do you think that varying both brightness and hue helps to distinguish colors? Should I change saturation, too? Thanks, Tamas PS.: The plot is simply gzipped. If you need a zipped version, or the source code, contact me. -- Tamás K. Papp E-mail: [EMAIL PROTECTED] Please try to send only (latin-2) plain text, not HTML or other garbage. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
The list engine removed the .eps.gz attachment [Re: [R] (offtopic) I need two sets of 5 different color scales]
On Sat, Apr 10, 2004 at 01:09:18PM +0200, Tamas Papp wrote: PS.: The plot is simply gzipped. If you need a zipped version, or the source code, contact me. It appears to be removed by the list engine. Is it possible to send eps files to the list? I gzipped it because it was 90k originally, but 8k compressed. What should I do, send the uncompressed version? The posting guide says: No binary attachments except for PS, PDF, and some image and archive formats, that means no gzipped versions of these? Thanks Tamas -- Tamás K. Papp E-mail: [EMAIL PROTECTED] Please try to send only (latin-2) plain text, not HTML or other garbage. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] (offtopic) I need two sets of 5 different color scales
Tamas Papp wrote: Hi, I am plotting a policy function (result from a dynamic stochastic optimization problem, discretized approximation). The policy function maps from an 2 x 2 x 2 x 3 x B x F state space to a B x F state space (B and F are usually between 4-6, and represent domestic and foreign savings. The other variables are income (Y), inflation (Pi), domestic and foreign interest rates (R and Z)). I actually wrote a plotting function to represent all this, the result is attached -- please have a look at it and help me... I need advice in the following: I need two sets of colors for B and F which are easy to distinguish (when printed on a color laser printer), represent cardinality (ie have an intuitive mapping to an interval) or at least ordinality. I have experimented with the following: Bcolors - hsv(.6, seq(0.2, 1, length=5), 1) Fcolors - hsv(seq(.1,0, length=5), seq(0.2, 1, length=5) this is what you see in the plot. What colors would you use? Do you think that varying both brightness and hue helps to distinguish colors? Should I change saturation, too? Hmm, Ross Ihaka has given a talk at the DSC2003 conference about constructing sensible colors. Unfortunately, there is no paper available at http://www.ci.tuwien.ac.at/Conferences/DSC-2003/Proceedings/ ... Some notes and a color package are available at http://www.stat.auckland.ac.nz/~ihaka/color/ Also, you might want to look at the package RColorBrewer available at CRAN. The package is supposed to provide palettes of sensible colors. Uwe Ligges PS: If you want to send any attachments: Preferably upload to a web site and just post the link. Thanks, Tamas PS.: The plot is simply gzipped. If you need a zipped version, or the source code, contact me. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] looking for a tutorial on exception handling
Unfortunately there isn't yet. Writing a paper on this is fairly high on my list of priorities but hasn't happened yet. Best, luke On Fri, 9 Apr 2004, Tamas Papp wrote: Hi, I would like to learn how to do exception handling in R. I had a look at the help page for tryCatch and I am trying to understand it (I am sure it is well-written, but I have not used exception handling before in any language, so I have no experience in that area). Is there a tutorial or an introduction into exception handling in R with tryCatch friends? Preferably with lots of examples. It would be nice if there was one online, but references to books would also be appreciated. Thanks, Tamas -- Luke Tierney University of Iowa Phone: 319-335-3386 Department of Statistics andFax: 319-335-3017 Actuarial Science 241 Schaeffer Hall email: [EMAIL PROTECTED] Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] (offtopic) I need two sets of 5 different color scales
maybe, the RColorBrewer package does what you want? see also: ColorBrewer.org Hi, I am plotting a policy function (result from a dynamic stochastic optimization problem, discretized approximation). The policy function maps from an 2 x 2 x 2 x 3 x B x F state space to a B x F state space (B and F are usually between 4-6, and represent domestic and foreign savings. The other variables are income (Y), inflation (Pi), domestic and foreign interest rates (R and Z)). I actually wrote a plotting function to represent all this, the result is attached -- please have a look at it and help me... I need advice in the following: I need two sets of colors for B and F which are easy to distinguish (when printed on a color laser printer), represent cardinality (ie have an intuitive mapping to an interval) or at least ordinality. I have experimented with the following: Bcolors - hsv(.6, seq(0.2, 1, length=5), 1) Fcolors - hsv(seq(.1,0, length=5), seq(0.2, 1, length=5) this is what you see in the plot. What colors would you use? Do you think that varying both brightness and hue helps to distinguish colors? Should I change saturation, too? Thanks, Tamas PS.: The plot is simply gzipped. If you need a zipped version, or the source code, contact me. -- Tamás K. Papp E-mail: [EMAIL PROTECTED] Please try to send only (latin-2) plain text, not HTML or other garbage. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Re: missing values for mda package
The mda package has no facilities for missing data. Users are expected to supply clean data; i.e. any missing value treatment should take place before using any of the routines in the package. In particular, our version of the mars function takes inputs x and y, which are assumed to have no missing values. The spam data were used to demonstrate mars in Elements of Statistical Learning The spam data has no missing values, and can be obtained from http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Trevor Hastie Trevor Hastie [EMAIL PROTECTED] Professor, Department of Statistics, Stanford University Phone: (650) 725-2231 (Statistics)Fax: (650) 725-8977 (650) 498-5233 (Biostatistics) Fax: (650) 725-6951 URL: http://www-stat.stanford.edu/~hastie address: room 104, Department of Statistics, Sequoia Hall 390 Serra Mall, Stanford University, CA 94305-4065 [[alternative HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] confidential interval of correlation coefficient using bootstrap
You are not using boot() correctly. Please do try reading the help page, which says statistic: ... In all other cases 'statistic' must take at least two arguments. The first argument passed will always be the original data. The second will be a vector of indices ... so you need a function of two args like f - function(data, i) cor(data[i, 1], data[i, 2]) boot(cbind(x,y), f, 200) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = cbind(x, y), statistic = f, R = 200) Bootstrap Statistics : original biasstd. error t1* 0.5711816 0.05765583 0.2178101 However, once you have done that you need a way to get a confidence interval, and you will find ?abc.ci has an example for you, using correlations. On Sat, 10 Apr 2004, XIAO LIU wrote: I tried 2 methods to estimate C.I. of correlation coefficient of variables x and y: x - c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1) y - c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8) #METHOD 1: Pearson's ** cor.test(x, y, method = pearson, conf.level = 0.95) Pearson's product-moment correlation data: x and y t = 1.8411, df = 7, p-value = 0.1082 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.1497426 0.8955795 sample estimates: cor 0.5711816 *** #METHOD 2: bootstrap *** boot(cbind(x,y), cor, 200) ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = cbind(x, y), statistic = cor, R = 200) Bootstrap Statistics : original biasstd. error t1* 0.5429120 -0.5232893 0.3799117 t2* 0.3832856 -0.3779026 0.387 'cor.test' gave the value of cor as 0.5711816. Why did 'boot' give two original cors: t1 and t2. And why does none of t1 and t2 equal to what 'cor.test' gave. Thank you very much Xiao -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UKFax: +44 1865 272595 __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] nlme: creating pdMats
I have an experiment with an interaction (VT) between Varieties and Time. There are 12 Varieties and 2 Times (Early and Late), and Time is a fixed affect. I have been estimating a single variance from this interaction using pdIdent(~VT-1). I would like to test 2 more complicated models. 1) Estimate 2 variances, one for Variety*Time(Early) and one for Variety*Time(Late), again with a diagonal matrix. 2) The above with a covariance term between the Times across Varieties. To do this, I think I would want a variance covariance matrix like (1) but with one more parameter wherever a row and a column share a Variety but differ in Times. The rest would be zero. I would appreciate if someone would explain how I can do this using the standard pdMat classes, or, more likely, how to create a new one to do this. Thanks much, Scott Rifkin __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] fixed and random effects question
On page 146 of Pinheiro Bates, they mention models where every fixed effect has an associated random effect. What does it mean for a fixed effect to have an associated random effect? Thanks for any clarification, Scott Rifkin __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
