[R] Error in inherits(x, "data.frame") : object "Dataset" not found

[Dimitris Rizopoulos]

you probably want to use:

model <- glm(cbind(successes, failures) ~ medyear + age + sex + where 
+ who + dxbroad + firstep + standard, family = binomial, data = 
logreg)

since you store the data you imported in the data.frame 'logreg' not 
'Dataset'.

I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Bob Green" <bgreen at dyson.brisnet.org.au>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, June 06, 2006 1:52 PM
Subject: [R] Error in inherits(x, "data.frame") : object "Dataset" not 
found


>I have been trying to run a logistic regression using a number of 
>studies.
> Below is the syntax, error message & data.
>
> Any advice regarding what I am doing wrong or solutions are 
> appreciated,
>
> regards
>
> Bob Green
>
>
> > logreg <- read.csv("c:\\logregtest.csv",header=T)
> > attach(logreg)
> > names(logreg)
>  [1] "medyear"   "where"     "who"       "dxbroad"   "firstep" 
> "standard"
>  [7] "age"       "sex"       "successes" "failures"
> > model <- glm(cbind(successes, failures) ~medyear + age + sex + 
> > where +
> who + dxbroad + firstep + standard, family=binomial, data=Dataset)
> Error in inherits(x, "data.frame") : object "Dataset" not found
>
>
> medyear where who dxbroad firstep standard age sex successes 
> failures
> 89 3 2 1 0 0 31.5 71 28 117
> 98 2 2 1 0 1 48 62 15 72
> 98 4 1 1 0 0 45.2 61 42 57
> 89 3 0 1 0 1 28.7 63 19 48
> 99 2 2 1 0 1 34.7 73 27 73
> 88 3 0 1 0 1 30.6 58 26 57
> 94 1 1 1 0 1 36.3 81 70 124
> 96 3 1 1 0 1 40 57 27 40
> 96 2 2 1 0 1 33.1 64 9 41
> 88 2 0 1 1 0 29.5 47 30 202
> 98 1 2 0 0 1 39.3 60 246 734
> 97 4 0 0 0 1 38.4 67 17 85
> 92 3 0 1 0 1 34.3 67 15 127
> 88 2 0 1 0 1 NA 46 9 90
> 85 3 0 1 0 1 30.3 64 58 87
> 94 3 0 1 0 1 38.8 47 47 126
> 88 3 0 1 0 1 33.8 54 25 134
> 92 3 0 1 1 1 NA NA 67 157
> 90 3 0 1 1 1 26 52 17 101
> 90 3 0 1 0 0 NA NA 39 32
> 90 2 0 1 0 1 36.1 38 10 173
> 90 2 0 1 0 1 38.9 53 64 383
> 97 2 0 1 0 1 31.5 61 12 52
> 99 1 1 1 0 1 NA NA 25 56
> 100 4 1 1 0 1 45 62 46 270
> 101 2 0 1 0 1 32.4 100 33 92
>
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