search for: gleason

Displaying 9 results from an estimated 9 matches for "gleason".

2017 Sep 06
1
Interesting behavior of lm() with small, problematic data sets
Indeed (version-specific). With R 3.4.1 on linux, I get coefficients and residuals that are numerically exact, F-statistic = NaN, p-value = NA, R-squared = NaN, etc. All of which is what ought to happen, given that the response variable (y) is not actually variable. ---JRG John R. Gleason On 09/06/2017 09:10 AM, S Ellison wrote: >> I think what you're seeing is >> https://en.wikipedia.org/wiki/Loss_of_significance. > > Almost. > All the results in the OP's summary are reflections of finite precision in the analytically exact s...
2005 Feb 11
1
Help concerning Lasso::l1ce
...und 0.44 (as in the manual), I got a different result: > l1c.P <- l1ce(lpsa ~ ., Prostate, bound=0.44) > l1c.P .... Coefficients: (Intercept) lcavol lweight age lbph svi 1.0435803 0.4740831 0.1953156 0.0000000 0.0000000 0.3758199 lcp gleason pgg45 0.0000000 0.0000000 0.0000000 The relative L1 bound was : 0.44 The absolute L1 bound was : 0.8113534 The Lagrangian for the bound is: 17.89198 And the sum of the absolute values of the coefficients are larger than the bound!! Why? Second, the manual says that if I se...
2012 Jan 04
3
PXELINUX Lua bindings for DHCP in future release?
I saw a post by Timm Gleason back in Oct. 2011 - http://www.syslinux.org/archives/2011-October/016928.html This would also be handy for something I''m doing, but my group is leery of "owning" syslinux in order to incorporate this patch. I did a quick test to my own build, and it seemed t...
2003 Jul 12
6
ss''s are incorrect from aov with multiple factors
Hi, I have been trying to work with error terms given back from aov to make confidence intervals. However, the numbers seem to be incorrect. If there is more than one term in the ANOVA then the error terms can be inflated by the number of factors in the extra terms. The F''s are correct so it is right back to the SS. I was wondering if this is standard practice for stats programs
2017 Sep 06
1
Interesting behavior of lm() with small, problematic data sets
> I think what you're seeing is > https://en.wikipedia.org/wiki/Loss_of_significance. Almost. All the results in the OP's summary are reflections of finite precision in the analytically exact solution, leading to residuals smaller than the double precision limit. The summary is correctly warning that it's all potentially nonsense, and indeed the only things you
2002 Dec 08
3
strange QQ-Plot
Hi, i am working on a data set with EDA. That includes QQ-Plots of residuals vs expected normal distribution. What puzzles me is that the range of ordinate and abscissae is so different: while the theoretical quantiles range from [-2, 2] the sample quantiles on the ordinate do extent from [-20, 50]. Quite obviously some kind of transformation is done. Although i intensively RTFM i could not
2003 Aug 13
5
Levene test of homogeneity of variance
Has the Levene test of homogeneity of variance been implemented in any library in R? Thanks, Maurice Haynes National Institute of Child Health and Human Development Child and Family Research Section 6705 Rockledge Drive Bethesda, MD 20892 Voice: 301-496-8180 Fax: 301-496-2766 E-Mail: mh192j at nih.gov
2004 Dec 19
4
Homogeneity of variance tests between more than 2 samples (long)
Dear all a couple of months ago i''ve found threads regard test that verify AnOVa assumption on homogeneity of variances. Prof. Ripley advice LDA / QDA procedures, many books (and many proprietary programs) advice Hartley''s F_max, Cochran''s minimum/maximum variance ratio (only balanced experiments), K^2 Bartlett''s test, Levene''s test. Morton B.
2009 Feb 26
49
Inefficiency of SAS Programming
If anyone wants to see a prime example of how inefficient it is to program in SAS, take a look at the SAS programs provided by the US Agency for Healthcare Research and Quality for risk adjusting and reporting for hospital outcomes at http://www.qualityindicators.ahrq.gov/software.htm . The PSSASP3.SAS program is a prime example. Look at how you do a vector product in the SAS