Re: [R] How to convert a 3 dimensional List to make a table with tables tabular()?

2013-11-19 Thread Duncan Murdoch

On 13-11-18 3:46 PM, Beckstrand, Janis, NCOD wrote:

I have information in a 3 dimensional list that I want to use to create
a table for a written report.



The 3d list was created by applying the epiR function  epitest  to a
list of 8 2x2 tables using  lapply.

The resulting list gives the 12 statistics with CIs,  that  generated by
epitest, for each of the 8 matrices (i9, i10, etc).



The list has the following form:



Statslow$i9

$aprev

 est lowerupper

1 0.2263884 0.2244714 0.228314



$tprev

est lower upper

1 0.204388 0.2025413 0.2062442



Statslow$i10

$aprev

 est lowerupper

1 0.227004 0.22545  0.228314



$tprev

est lower upper

1 0.204388 0.2025413 0.2062442





I want to create a report that has a table in the following format:

I9
i10

  Est   lower upper   Est  lower
upper



aprev   0.23 0.22 0.23   etc

tprev0.2   0.20 0.21

etc



I have read and tried the tables package pdf and also the information at

http://www.r-statistics.com/tag/data-frame/ about cast() and
tabular.cast_df.r(),

and also all the information I can find on nested tables, but have not
be successful.

I have tried to use melt() on the 3D list (to create a dataframe
statslow.d)  but get what seems more like S3 output :



   variable value   L2L1

1  est   0.2263884aprev   i9

2lower0.2244714aprev  i9

3upper   0.2283140aprev   i9

4  est   0.2043880 tprev  i9

5lower0.2025413tprev   i9

6upper   0.2062442tprev   i9



When I try to use it with tables() I get errors

and I can't see how to use the tables function on it to get what I want.

Here is the tables() code that I have tried:



class(statslow.d)

[1] data.frame


head(statslow.d)


   variable valueL2  L1

1  est 0.2263884 aprev  i9

2lower 0.2244714 aprev i9

3upper 0.2283140 aprev i9

4  est 0.2043880 tprev i9

5lower 0.2025413 tprev i9

6upper 0.2062442 tprev i9


tabular(statslow.d,L2~L1*variable)


Error in tabular.formula(as.formula(table, env = parent.frame()), ...) :


   data must be a dataframe, list or environment


statslow.d-as.data.frame(statslow.d)



tabular(statslow.d,L2~L1*variable)


Error in tabular.formula(as.formula(table, env = parent.frame()), ...) :


   data must be a dataframe, list or environment



I would appreciate any help or hints anyone can give.





The arguments to tabular are in the wrong order.  You need to give the 
formula first or name it as table.  So


tabular(L2 ~ L1*variable, data=statslow.d)

would not give an error, but it probably doesn't do what you want, 
because you don't specify a statistic, so it will default to a count. 
You could use the mean function, e.g.


tabular(L2 ~ L1*variable*Heading()*mean, data=statslow.d)

(The Heading() will suppress the column label mean.)  There are 
examples in the vignette that do fancy formatting of multiple columns, 
so it would be possible to write the interval as [.224, .228] for instance.


Duncan Murdoch

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[R] How to convert a 3 dimensional List to make a table with tables tabular()?

2013-11-18 Thread Beckstrand, Janis, NCOD
I have information in a 3 dimensional list that I want to use to create
a table for a written report. 

 

The 3d list was created by applying the epiR function  epitest  to a
list of 8 2x2 tables using  lapply.  

The resulting list gives the 12 statistics with CIs,  that  generated by
epitest, for each of the 8 matrices (i9, i10, etc). 

 

The list has the following form:

 

Statslow$i9

$aprev

est lowerupper

1 0.2263884 0.2244714 0.228314

 

$tprev

   est lower upper

1 0.204388 0.2025413 0.2062442

 

Statslow$i10

$aprev

est lowerupper

1 0.227004 0.22545  0.228314

 

$tprev

   est lower upper

1 0.204388 0.2025413 0.2062442

 

 

I want to create a report that has a table in the following format:

   I9
i10  

 Est   lower upper   Est  lower
upper

 

aprev   0.23 0.22 0.23   etc

tprev0.2   0.20 0.21

etc

 

I have read and tried the tables package pdf and also the information at

http://www.r-statistics.com/tag/data-frame/ about cast() and
tabular.cast_df.r(), 

and also all the information I can find on nested tables, but have not
be successful.  

I have tried to use melt() on the 3D list (to create a dataframe
statslow.d)  but get what seems more like S3 output :

 

  variable value   L2L1

1  est   0.2263884aprev   i9

2lower0.2244714aprev  i9

3upper   0.2283140aprev   i9

4  est   0.2043880 tprev  i9

5lower0.2025413tprev   i9

6upper   0.2062442tprev   i9

 

When I try to use it with tables() I get errors

and I can't see how to use the tables function on it to get what I want.

Here is the tables() code that I have tried:

 

class(statslow.d)

[1] data.frame

 head(statslow.d)

  variable valueL2  L1

1  est 0.2263884 aprev  i9

2lower 0.2244714 aprev i9

3upper 0.2283140 aprev i9

4  est 0.2043880 tprev i9

5lower 0.2025413 tprev i9

6upper 0.2062442 tprev i9

 tabular(statslow.d,L2~L1*variable)

Error in tabular.formula(as.formula(table, env = parent.frame()), ...) :


  data must be a dataframe, list or environment

 statslow.d-as.data.frame(statslow.d)

 tabular(statslow.d,L2~L1*variable)

Error in tabular.formula(as.formula(table, env = parent.frame()), ...) :


  data must be a dataframe, list or environment

 

I would appreciate any help or hints anyone can give.

 

Jan Beckstrand

 


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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.