similar to: new ordinal typing

On Mon, Jun 25, 2001 at 12:49:04PM -0700, Josh Coalson wrote: > After working on some more plugins I realized that the naming for flac's > ordinal types were not going to cut it. There is too much chance for > conflicts with other libraries/programs with names like 'bool' and 'uint32' > so I went back and prefixed all flac ordinal types with 'FLAC__'. It

1) src/share/grabbag/snprintf.c, line 42: 'on systems with a norrmal ISO C99' 'norrmal' -> 'normal' 2) src/flac/encode.c, line 1661: '(eg, very short files, < 10000 fames)' 'fames' -> frames? samples? bytes? 3) configure.ac, line 140: 'AM_CONDITIONAL(FLAC__CPU_X86_64, test "x$cpu_x86_64" = xtrue)' Not sure about this, but

Erik de Castro Lopo wrote: >> 3) configure.ac, line 140: 'AM_CONDITIONAL(FLAC__CPU_X86_64, test "x$cpu_x86_64" = xtrue)' >> >> Not sure about this, but other names inside AM_CONDITIONALs begin with FLaC__, >> not FLAC__. A quote from configure.ac: "NOTE that for many of the AM_CONDITIONALs >> we use the prefix FLaC__ instead of FLAC__ since

Hi all, I'm new to R, have been reading books and trying to get started coding too. The first thing of substance I've been trying to do is to create a function to return a list of all binary trees of a list of ordinals. So, for example, an input of list(3,1,2,4) would return: list(list(1, list(2, list(3, 4))), list(1, list(list(2, 3), 4)), list(list(1, 2), list(3, 4)),

Ping ? Do you think that we need to have an API in LinkingContext to return the next ordinal available, so that files created by passes can be assigned ordinals ? Thanks Shankar Easwaran On 10/6/2013 11:07 PM, Shankar Easwaran wrote: > In addition I think the LayoutPass std::stable_sort be replaced with > std::sort as total ordering is guaranteed as each File would get an >

On 10/7/2013 3:43 PM, Rui Ueyama wrote: > On Mon, Oct 7, 2013 at 11:51 AM, Shankar Easwaran > <shankare at codeaurora.org>wrote: > >> Ping ? >> >> Do you think that we need to have an API in LinkingContext to return the >> next ordinal available, so that files created by passes can be assigned >> ordinals ? >> > That API may work, but I

On Mon, Oct 7, 2013 at 11:51 AM, Shankar Easwaran <shankare at codeaurora.org>wrote: > Ping ? > > Do you think that we need to have an API in LinkingContext to return the > next ordinal available, so that files created by passes can be assigned > ordinals ? > That API may work, but I don't think you always want to assign the largest file ordinal for a file created in

Erik de Castro Lopo wrote: >> 3) configure.ac, line 140: 'AM_CONDITIONAL(FLAC__CPU_X86_64, test "x$cpu_x86_64" = xtrue)' >> >> Not sure about this, but other names inside AM_CONDITIONALs begin with FLaC__, >> not FLAC__. A quote from configure.ac: "NOTE that for many of the AM_CONDITIONALs >> we use the prefix FLaC__ instead of FLAC__ since

I'm trying to install the ordinal package (http://popgen.unimaas.nl/~plindsey/rlibs.html). I downloaded ordinal03.tgz and untarred it. rmutil was previously installed (and appears to work ok.) Then I installed ordinal: [root at localhost ~]# R CMD INSTALL /home/chippy/Download/ordinal * Installing to library '/usr/lib/R/library' * Installing *source* package 'ordinal' ... **

Hi, I am working on a regression tree in Rpart that uses a continuous response variable that is ordered. I read a previous response by Pfr. Ripley to a inquiry regarding the ability of rpart to handle ordinal responses in 2003. At that time rpart was unable to implement an algorithm to handle ordinal responses. Has there been any effort to rectify this in recent years? Thanks! Stacey On

Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have

I have been asked to analyse some questionnaire data- which is not data I'm that used to dealing with. I'm hoping that I can make use of the nabble expertise (again). The questionnaire has a section which contains a particular issue and then questions which are related to this issue (and potentially to each other): 1) importance of the issue (7 ordinal categories from -3 to +3) 2) impact

Hi I would like to analyse an ordinal categorical variable. I know how I can analyse a nominal categorical variable (with multinom or if there are only two levels with glm). Does somebody know which command I need in R to analyse an ordinal categorical variable? I want to describe the variable y with the variables x1,x2,x3 and x4. So my model looks like: y ~ x1+x2+x3+x4. y: ordinal factor

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do

Hi there, during my work I have to use kernel smoothing methods for multivariate ordinal data. The R-package "KernSmooth" unfortunately includes only a version for continous scaled variables. Does anybody know whether there exists also a version for ordinal data? Thanks for help! --

Dear all, For a population of about 200 I have a continuous variable and an ordinal variable. The question I would like to ask is whether the continuously increases (or decreases) as the rank of the ordinal variable increases. I was thinking that a Spearmen's rank correlation or or a chi squared trend might be appropriate. I don't have any experience dealing with ordinal variables so I

Dear List, I have two questions about how to do predictions using lrm, specifically how to predict the ordinal response for each observation *individually*. I'm very new to cumulative odds models, so my apologies if my questions are too basic. I have a dataset with 4000 observations. Each observation consists of an ordinal outcome y (i.e., rating of a stimulus with four possible

Hello,dear all: I want to install the package "ordinal",but I don't see the package listed under package sources. I try to search it by "google",then I found this: http://euridice.tue.nl/~plindsey/rlibs.html but the connect does not work. Where can I found the package "ordinal" ? Is it still available? Thanks in advance. ^^

Dear R specialists, I have a multivariate statistics question that I want to submit to the R community (which conveys a very good statistical knowledge). I need to perform an optimal scaling based on a discrete variable and an ordinal variable. The discrete variable, Area, defines a geographical area. The ordinal variable, EducationLevel, describes the education level of individuals (the

There is a difference in the p- value from 0.000 and 0.012 when I am using SPSS. 0.000 when I am using the independent variable as scaled 0.012 if I am using the variable as ordinal. The independent variable is ordinal but it seems that R is using the variable as an scaled, because the P- Value is computed with 4.66e-06 so I am not sure which description I am misunderstanding: SPSS;: