Displaying 4 results from an estimated 4 matches for "age75".
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age5
2011 May 17
2
can not use plot.Predict {rms} reproduce figure 7.8 from Regression Modeling Strategies (http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf)
...ndouts *Regression Modeling Strategies* (
http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf) by the
following code. Could any one help me figure out how to solve this?
setwd('C:/Rharrell')
require(rms)
load('data/counties.sav')
older <- counties$age6574 + counties$age75
label(older) <- '% age >= 65, 1990'
pdensity <- logb(counties$pop.density+1, 10)
label(pdensity) <- 'log 10 of 1992 pop per 1990 miles^2'
counties <- cbind(counties, older, pdensity) # add 2 vars. not in data
frame
dd <- datadist(counties)
options(datadist='dd...
2007 Sep 27
1
R: anova.Design
...te a case study described by Prof. Harrell in Chapter 7 of
his Regression Modeling Strategies book, but failed on using anova.Design to
reproduce his table 7.1, Following is the code:
rm(list=ls())
library(Hmisc)
library(Design)
getHdata(counties)
counties$older <- counties$age6574 + counties$age75
label(counties$older) <- '% age >= 65, 1990'
counties$pdensity <- log10(counties$pop.density+1)
label(counties$pdensity) <- 'log 10 of 1992 pop per 1990 miles^2'
dd <- datadist(counties)
options(datadist='dd')
f <- ols(democrat ~ rcs(pdensity,4) + rcs(pop...
2007 Oct 19
1
plot.Design
Dear R-users:
I am trying to use the following code to reproduce the figures on page 140
of Prof. Frank Harrell's book 'Regression Modeling Strategies':
rm(list=ls())
options(width=128)
library(Hmisc)
library(Design)
getHdata(counties)
counties$older <- counties$age6574 + counties$age75
label(counties$older) <- '% age >= 65, 1990'
counties$pdensity <- log10(counties$pop.density+1)
label(counties$pdensity) <- 'log 10 of 1992 pop per 1990 miles^2'
dd <- datadist(counties)
options(datadist='dd')
f <- ols(democrat ~ rcs(pdensity,4) + rcs(pop...
2007 Sep 27
1
ReL plot(cox.zph())
You report an error message:
> plot(zph.revasFit[1])
Error in plot.window(xlim, ylim, log, asp, ...) :
need finite 'ylim' values
I have never seen this error before, and I cannot guess what causes it. You
need to provide more information, and likely a small data set that produces
the problem. Perhaps you have an x variable that is a constant?
Terry Therneau