similar to: logistic regression

Hi, I have newbie question. Suppose I have the following data: temp <- data.frame(type1 = c("male", "female", "male", "female", "female"), type2 = c("low", "med", "high", "low", "med"), a = c(1,2,4, NA, 3), b = .... [TRUNCATED] temp type1 type2 a b c 1 male low 1 5 0 2 female

Hi All, I'm working on a back end for an architecture that makes use of multi- typed register classes. def MR: RegisterClass<"namespace", [type1, type2, ... ], ... > When running some preliminary tests I found that the instruction selector refused to select certain ops (specifically stores) for some instructions when the operand type wasn't the first type for the

On Feb 12, 2007, at 1:41 AM, Christopher Lamb wrote: > > selector refused to select certain ops (specifically stores) for some > instructions when the operand type wasn't the first type for the > register class. After some digging around I seem to have solved the > problem by creating bitconvert patterns between the types in the > register class like the following: > >

Hello all, I have generated a principal components regression model using the pcr() function from the PLS package (R version 2.12.0). I am getting a "non-conformable arguments" error when I try to use the predict() function on new data, but only when I try to read in the new data from a separate file. More specifically, when my data looks like this #########training data

Full_Name: Alexander L. Belikoff Version: 2.8.1 OS: Ubuntu 9.04 (x86_64) Submission from: (NULL) (67.244.71.200) I'm trying to reshape the following data frame: ID DATE1 DATE2 VALUE_TYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALUE_TYPE is a string and is a factor with only 2 values

Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1 .50 .25 .25 4 .55 .25 .20 5 .65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these

Suppose I create an R program called myTest.R with only one line like the following: type <- as.integer(readline("input type (1: type1; 2: type2)? ")) Then I'd like to run myTest.R in batch mode by constructing an input file called answers.R with the following: source("myTest.R") 1 When I ran the following at the terminal: R CMD BATCH answer.R output.Rout it failed

Hallo, I have this dataset with repeated measures. There are two within-subject factors, "formant" (2 levels: 1 and 2) and "f2 Ref" (25 levels: 670, 729, 788, 846, 905, 1080, 1100, 1120, 1140, 1170, 1480, 1470, 1450, 1440, 1430, 1890, 1840, 1790, 1740, 1690, 2290, 2210, 2120, 2040, 1950), and one between-subject factor, lang (2 levels:1 and 2). The response variable

Hello all, This is Meghana. Well, I have some analysis output in 3 dimensional array form. for example: , , type1 A B C D 1 2 3 4 1 2 3 4 , , type2 etc. This array is very big. and I want to export this to either text form or excel(csv is preffered) so that different parts of aaray should be easily extractable from that excel/text sheet. How can I go about it? Thank

Hello, I have a ggplot that has the looks of the plot that I want, but it doesn't have the right layout. The data is an ordered melted dataframe: - ID - type (to use for a faced grid) - time - type - time - value (POSIXct) - pos (to use for a faced grid, this is an index to split the plot) The goal of the plot is to create a time line for each ID (different points of time). The ID's

Dear R-devel list members, I'd like to suggest a more flexible procedure for generating contrast names. I apologise for a relatively long message -- I want my proposal to be clear. I've never liked the current approach. For example, the names generated by contr.treatment paste factor to level names with no separation between the two; contr.sum simply numbers contrasts (I recall an

Hi, the subject isn't define well the problem, so i'll explain it in detail: i've got a csv.file with data on number of factors (every column got the name of the factor as header and the data below). on another csv file, i've got the factors sorted by their type. for example- c1=read.csv('C:/R/c1.csv', header= TRUE) urrDate A_XS b_XS c_XS

Hi Cluster Community, we are seeing some problems when adding multiple terrabytes of data to a 2 node replicated GlusterFS installation. The version is 3.8.11 on CentOS 7. The machines are connected via 10Gbit LAN and are running 24/7. The OS is virtualized on VMWare. After a restart of node-1 we see that the log files are growing to multiple Gigabytes a day. Also there seem to be problems

Hi: I need to plot two time series in the same plot and they cover the same time range and have the same frequency. With RSiteSearch("multiple series plot") i found this post by Gabor Grothendieck: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/42281.html Exactly what i need except for one detail. I want one series to be made of points and the other by a line. When I simply try: xts

This is strange, a couple of questions: 1. What volume type is this? What tuning have you done? gluster v info output would be helpful here. 2. How big are your bricks? 3. Can you write me a quick reproducer so I can try this in the lab? Is it just a single multi TB file you are untarring or many? If you give me the steps to repro, and I hit it, we can get a bug open. 4. Other than

On 3/13/13 1:21 PM, Daniel Berlin wrote: > On Wed, Mar 13, 2013 at 11:37 AM, Arnold Schwaighofer > <aschwaighofer at apple.com> wrote: >> On Mar 13, 2013, at 1:07 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: >> >>>> The program I gave was well typed :) >>> Hi, Daniel: >>> Thank you for sharing your insight. I didn't realized

Hi all, A while ago there was a discussion on changing the current "set of trees" representation of TBAA metadata to be more expressive, prompted by the need to support C structs. Dan Gohman also talked about the issue here: http://llvm.org/devmtg/2012-11/Gohman-AliasAnalysis.pdf. It was suggested that the trees be replaced by a type DAG then. While working on this compiler

Basic question: I looked around quite a bit, still having a little trouble manipulating the distance between the Y-axis label and the plot. In this case, I would like to move the Y axis title closer to the plot. # Data tC <- textConnection(" Time Type1 Type2 Type3 1.3 .50 .10 .40 4.5 .45 .20 .35 5.2 .40 .30 .30 ") data1 <- read.table(header=TRUE, tC) data2 <-

The parts of klibc specific to the x86_64 architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit f889dd04bef1aed36ba18161c727af47338e167a tree c25f184d2e3337b52dfe3abd191ec639d4d9543d parent f30fa3db62972125afa68d3b53d03cdb843d3bbd author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:53 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Dear R help list, I have a training dataset that looks like Table1. I have an unknown dataset that looks like Table2. I want to have a program that should search the training dataset and identify that the unknown sample belongs to which category (type1, type2 or type3) and also if the unknown does not belong to any of the categories, it should let me know. The real dataset has 600 variables and