search for: expb

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2009 Jul 15
5
Grouping data in dataframe
Hello, I have a dataframe (obtained from read.table()) which looks like ExpA ExpB ExpC Size 1 12 23 33 1 2 12 24 29 1 3 10 22 34 1 4 25 50 60 2 5 24 53 62 2 6 21 49 61 2 now I want to take all rows that have the same value in the "Size" column and apply a function...
2010 Jan 09
1
errors when installing packages (ubuntu)
...O2 -c dlv.f -o dlv.o gfortran -fpic -g -O2 -c dmaket.f -o dmaket.o gfortran -fpic -g -O2 -c drdfun.f -o drdfun.o gfortran -fpic -g -O2 -c dsetup.f -o dsetup.o gfortran -fpic -g -O2 -c evlpoly.f -o evlpoly.o gfortran -fpic -g -O2 -c evlpoly2.f -o evlpoly2.o gfortran -fpic -g -O2 -c expbs.f -o expbs.o gfortran -fpic -g -O2 -c expfn.f -o expfn.o gfortran -fpic -g -O2 -c gaspbs.f -o gaspbs.o gfortran -fpic -g -O2 -c gaspfn.f -o gaspfn.o gfortran -fpic -g -O2 -c gcvcss.f -o gcvcss.o gfortran -fpic -g -O2 -c gcvfc.f -o gcvfc.o gfortran -fpic -g -O2 -c hsort.f -o hsort...
2010 Apr 01
2
About logistic regression
...1 4.3537 201 273.46 0.03693 * genero 1 1.4775 200 271.99 0.22417 grau:genero 1 0.0001 199 271.99 0.99031 SAS: proc logistic data=psico; class genero (param=ref ref='0') grau (param=ref ref='0'); model Q1 = grau genero grau*genero / expb; run; Type 3 Analysis of Effects Wald Effect DF Chi-Square Pr > ChiSq grau 1 1.6835 0.1945 gene...
2007 Oct 06
1
problem installing fields package 3.5 on R 1.8.1 on linux
...eee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c dmaket.f -o dmaket.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c drdfun.f -o drdfun.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c dsetup.f -o dsetup.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c expbs.f -o expbs.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c expfn.f -o expfn.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c gaspbs.f -o gaspbs.o g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c gaspfn.f -o gaspfn.o g77 -mieee-fp -fPIC -O2 -g -pipe -march...
2002 Oct 24
1
package installation
...nstall any R package. Here is the failure message I obtain: ... g77 -fPIC -O2 -m486 -fno-strength-reduce -g -c sortm.f -o sortm.o gcc -shared -o fields.so css.o csstr.o cvrcss.o cvrf.o dchold.o dcopy.o ddot.o dlv.o dmaket.o drdfun.o dsetup.o expbs.o expfn.o gaspbs.o gaspfn.o gcvcss.o gcvf c.o hsort.o ifind.o inpoly.o lscv.o m2deb.o mkpoly.o mltdrb.o mltdtd.o msort.o m ulteb.o multgb.o multrb.o nkden.o nkreg.o nvden.o radbas.o radfun.o rcss.o rc...
2003 Jun 14
4
problem installing packages from source on win2k
...-c cvrf.f -o cvrf.o g77 -O2 -Wall -c dchold.f -o dchold.o g77 -O2 -Wall -c dcopy.f -o dcopy.o g77 -O2 -Wall -c ddot.f -o ddot.o g77 -O2 -Wall -c dlv.f -o dlv.o g77 -O2 -Wall -c dmaket.f -o dmaket.o g77 -O2 -Wall -c drdfun.f -o drdfun.o g77 -O2 -Wall -c dsetup.f -o dsetup.o g77 -O2 -Wall -c expbs.f -o expbs.o g77 -O2 -Wall -c expfn.f -o expfn.o g77 -O2 -Wall -c gaspbs.f -o gaspbs.o g77 -O2 -Wall -c gaspfn.f -o gaspfn.o g77 -O2 -Wall -c gcvcss.f -o gcvcss.o g77 -O2 -Wall -c gcvfc.f -o gcvfc.o g77 -O2 -Wall -c hsort.f -o hsort.o g77 -O2 -Wall -c ifind.f -o ifind.o g77 -O2 -Wall -c in...
2008 Mar 10
1
ML Estimation Differences with R and SAS
...39;other','black','white')) GLM.1 <- glm(low ~ lwt + ptl + ht + race + smoke , family=binomial(logit), data=Dataset) summary(GLM.1) MY SAS CODE IS: PROC LOGISTIC descending DATA=p2; class race (ref='other'); MODEL LOW = lwt ptl ht race smoke / lackfit parmlabel expb link=logit; RUN; MY R OUTPUT IS: Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 0.92619 0.85549 1.083 0.27897 lwt -0.01650 0.00692 -2.384 0.01712 * ptl 1.23116 0.44607 2.760 0.00578 ** ht 1.76197 0.707...
2009 Jul 09
2
How to Populate List
...a data.frame and handled with less need for munging.  No need to remove the zero-padding because the zeros aren't needed in the first place. You can subset the data with subset, as in   test <- read.table('test.dat',header=TRUE)   expA <- subset(test, experiment=='A')   expB <- subset(test, experiment=='B') so there is no need to deal with ragged/zero-padded arrays. Your plots can be grouped automatically with lattice: require(lattice) xyplot(value ~ measurement, data=test, group=experiment, type='b') xyplot(value ~ measurement | experiment, data=...