search for: discrimant

Hello, I am using WinXP, R version 2.3.1, and SAS for PC version 8.1. I have mostly used SAS over the last 4 years and would like to compare the output of PROC DISCRIM to that of lda( ) with respect to a very specific aspect. My data have k=3 populations and there are 3 variates in the feature space. When using using the code PROC DISCRIM DATA = FOO OUT = FOO_OUT OUTSTAT = FOOSTAT

Hello: Please help me through my confusion. I am having trouble reconciling the difference between what I believe is the conventional definition of an odds ratio for a 2-by-2 table and the output produced by fisher.test() in R. Consider the following example: > Discrim <- matrix(c(1,10,24,17), + nr = 2, + dimnames = list(AGE = c('young', 'old'), +

Pass to --commands-from-file the name of a file containing customization commands in each line, as if they were specified as command line arguments. This eases the reuse of commands among different builder/customize/sysprep invocations. --- builder/cmdline.ml | 3 +- customize/customize_run.ml | 5 +++ generator/customize.ml | 98 ++++++++++++++++++++++++++++++++++++++++++++-- 3

I am trying to write the following code in R. The code works in S+ and i am trying to do the program in R. x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm) i wrote the following in R: x=lda(admit~gpa+gmat,data=data.mm) i could not figure out how to write prior=c("uniform") in R. I would get an error every time. I think that it has something to do with

Add simple operations for RHEL guests using subscription-manager, so it is possible to e.g. install software on them. --- builder/Makefile.am | 1 + builder/virt-builder.pod | 47 ++++++++++++++++++ customize/Makefile.am | 2 + customize/customize_run.ml | 34 +++++++++++++ customize/subscription_manager.ml | 53 ++++++++++++++++++++

Hi, this is the v2 of a series introducing basic support for registering/attaching/unregistering RHEL guests using subscription-manager, so it is possible to do for example: $ virt-customize -a rhel-guest.qcow2 \ --sm-credentials user:file:/path/to/password-file --sm-register \ --sm-attach file:/path/to/pool-file \ --install pkg1 --install pkg2 .. \ --sm-remove --sm-unregister

The second patch is obviously not complete yet - for discussion only. Rich.

Hello R people I now know how to run my discriminant analysis with the lda function in MASS: lda.alain=lda(Groupes ~ Ht.D0 + Lc.Dc + Ram + IDF, gr, CV = FALSE) and it works fine. But I am missing a test and cannot find any help on how to get it, if it exist. The "S" equivalent: discrim(structure(.Data = Groupes ~ Ht.D0 + Lc.Dc + Ram + IDF, class = "formula"), data = gr,

On Fri, Jun 24, 2016 at 05:42:37PM +0200, Pino Toscano wrote: > Add a new Getopt module to mllib, to parse command line arguments with > handlers close to the ones used with Arg, but using getopt(3) (actually > getopt_long_only) to do the real parsing. This allow us to provide > options for OCaml tools with a syntax similar to the C tools, and use > the additional features getopt

v2 -> v3: - Changes to the Curl API suggested by Pino.

Add a new Getopt module to mllib, to parse command line arguments with handlers close to the ones used with Arg, but using getopt(3) (actually getopt_long_only) to do the real parsing. This allow us to provide options for OCaml tools with a syntax similar to the C tools, and use the additional features getopt offers and Arg does not. Do a single-step conversion of Common_utils and all the OCaml

Hi, I'm a newbie in R and don't much aobut all the modules and their capabilities, but I'm interested in solving a problem about a discriminant analysis done with SPSS tool. The thing is that I would like to make a discrimant analysis similar to the one done with SPSS, but I can't find the way to solve it. I've been playing with R and I can handle more or less my data, the point is that I need to know what kind of discriminant analysis should I use to obtain the same results as I obtain with SPSS. Should I us...

v1 -> v2: - Fixed the bug with precedence of if / @. - Add some imperative list operators inspired by Perl, and use those for constructing the Curl arguments, and more. Rich.

v2 -> v3: - Renamed List.assoc_ -> List.assoc_lbl. - Rebased on top of current master branch. Rich.

Add a new Getopt module to mllib, to parse command line arguments with handlers close to the ones used with Arg, but using getopt(3) (actually getopt_long_only) to do the real parsing. This allow us to provide options for OCaml tools with a syntax similar to the C tools, and use the additional features getopt offers and Arg does not. Do a single-step conversion of Common_utils and all the OCaml

This adds a customize option: virt-customize --ssh-inject USER virt-customize --ssh-inject USER:string:KEY_STRING virt-customize --ssh-inject USER:file:FILENAME (ditto for virt-builder and virt-sysprep) In each case this injects into the guest user USER a) the current (host) user's ssh pubkey b) the key specified as KEY_STRING c) the key in FILENAME adding it to

Add a new Getopt module to mllib, to parse command line arguments with handlers close to the ones used with Arg, but using getopt(3) (actually getopt_long_only) to do the real parsing. This allow us to provide options for OCaml tools with a syntax similar to the C tools, and use the additional features getopt offers and Arg does not. Getopt now handles every part of the command line handling,

--- builder/cmdline.ml | 61 +++++++-------- dib/cmdline.ml | 57 +++++++------- generator/customize.ml | 29 +++---- get-kernel/get_kernel.ml | 17 +++-- mllib/common_utils.ml | 15 ++-- mllib/getopt.ml | 121 +++++++++++++++--------------- mllib/getopt.mli

I have three different conditions: detect, discrim, sum. In each condition I measure y at two different x levels. Thus I have 6 points. Theory says that the data should obey: y ~ (x+a)/b if cond==detect y ~ (x+a)/(2*b*(1-c)) if cond==discrim y ~ (x+a)/(2*b*(1+c)) if cond==sum These are 3 lines, one per condition. I need to estimate a, b, and c. How to do it in R? (I imagine that lm() will do

Hi! Will you please ask a newbie's question? Need linear discriminant analysis, need to capture discrim. function coefficiemts for further processing. Using R ver 1.4.0 package MASS function lda() Help says resulting object should have "components" (among others): means, scaling, svd, but program returns NULL for all of them Thank you!