Bert Gunter wrote:
>
> Yes. Don't do this.
>
> (what you probably really want to do is fit a model with age as a factor,
> which can be done statistically e.g. by logistic regression; or
> graphically
> using conditioning plots, e.g. via trellis graphics (the lattice package).
> This avoids the
1002 866
>>>>>> 547 247 82 18
>>>>>>> table (yr5)
>>>>>> yr5
>>>>>> (1950,1955] (1955,1960] (1960,1965] (1965,1970] (1970,1975] (1975,1980]
>>>>>> (1980,1985] (1985,1990] (1990,1
-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On
Behalf Of moleps
Sent: Monday, April 05, 2010 11:46 AM
To: r-help@r-project.org
Subject: [R] Data manipulation problem
Dear R´ers.
I´ve got a dataset with age and year of diagnosis. In order to
age-standardize the incid
45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80]
>>>>>> (80,85] (85,100] 35 34 33 47 51 109
>>>>>> 157 231 362 511745 926 1002 866
>>>>>>
llis graphics (the
lattice package).
This avoids the arbitrariness and discontinuities of binning by
age range.)
Bert Gunter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
] On
Behalf Of moleps
Sent: Monda
istics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
] On
Behalf Of moleps
Sent: Monday, April 05, 2010 11:46 AM
To: r-help@r-project.org
Subject: [R] Data manipulation problem
Dear R´ers.
I´ve got a dataset with age and year of diagnosis.
>
>>>> Yes. Don't do this.
>>>>
>>>> (what you probably really want to do is fit a model with age as a factor,
>>>> which can be done statistically e.g. by logistic regression; or graphically
>>>> using conditioning plots, e.g. via
itioning plots, e.g. via trellis graphics (the lattice package).
>>> This avoids the arbitrariness and discontinuities of binning by age range.)
>>>
>>> Bert Gunter
>>> Genentech Nonclinical Biostatistics
>>>
>>> -Original Message-
>
f binning by age range.)
Bert Gunter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of moleps
Sent: Monday, April 05, 2010 11:46 AM
To: r-help@r-project.org
Subject: [R] Data manipulation problem
De
kage).
> This avoids the arbitrariness and discontinuities of binning by age range.)
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of moleps
&
onday, April 05, 2010 11:46 AM
To: r-help@r-project.org
Subject: [R] Data manipulation problem
Dear R´ers.
I´ve got a dataset with age and year of diagnosis. In order to
age-standardize the incidence I need to transform the data into a matrix
with age-groups (divided in 5 or 10 years) along one axis a
?cut to create categories
?table to make the table
moleps wrote:
Dear R´ers.
I´ve got a dataset with age and year of diagnosis. In order to age-standardize the incidence I need to transform the data into a matrix with age-groups (divided in 5 or 10 years) along one axis and year divided into 5
Dear R´ers.
I´ve got a dataset with age and year of diagnosis. In order to age-standardize
the incidence I need to transform the data into a matrix with age-groups
(divided in 5 or 10 years) along one axis and year divided into 5 years along
the other axis. Each cell should contain the number o
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