R help - Aug 2016 - function that converts data into a form that can be included in a question to mailing list

There is a function that can be used to convert data structures such as a data
frame into a different format that allows the data to be sent to the mailing
list. The structure that is created can be used to easily reconstruct the data
structure. Unfortunately, I don't remember the function that is called on
the data structure. Can someone remind me?
Thank you
John
John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing) 

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Hi John,
I think it is "dput".

Jim


On Thu, Aug 25, 2016 at 8:00 AM, John Sorkin
<jsorkin at grecc.umaryland.edu> wrote:
>
> There is a function that can be used to convert data structures such as a
data frame into a different format that allows the data to be sent to the
mailing list. The structure that is created can be used to easily reconstruct
the data structure. Unfortunately, I don't remember the function that is
called on the data structure. Can someone remind me?
> Thank you
> John
> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
> Confidentiality Statement:
> This email message, including any attachments, is for ...{{dropped:12}}

> On Aug 24, 2016, at 3:00 PM, John Sorkin <jsorkin at
grecc.umaryland.edu> wrote:
> 
> 
> There is a function that can be used to convert data structures such as a
data frame into a different format that allows the data to be sent to the
mailing list. The structure that is created can be used to easily reconstruct
the data structure. Unfortunately, I don't remember the function that is
called on the data structure. Can someone remind me?
ITYM dput()

-- 
David
> Thank you
> John
> John David Sorkin M.D., Ph.D.
> 

David Winsemius
Alameda, CA, USA

Jim,
Yes, you are correct!
Give yourself a pat on the back and a gold start
THANK YOU,
John


John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
>>> Jim Lemon <drjimlemon at gmail.com> 08/24/16 6:05 PM
>>>
Hi John,
I think it is "dput".

Jim


On Thu, Aug 25, 2016 at 8:00 AM, John Sorkin
<jsorkin at grecc.umaryland.edu> wrote:
>
> There is a function that can be used to convert data structures such as a
data frame into a different format that allows the data to be sent to the
mailing list. The structure that is created can be used to easily reconstruct
the data structure. Unfortunately, I don't remember the function that is
called on the data structure. Can someone remind me?
> Thank you
> John
> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
> Confidentiality Statement:
> This email message, including any attachments, is for the sole use of the
intended recipient(s) and may contain confidential and privileged information.
Any unauthorized use, disclosure or distribution is prohibited. If you are not
the intended recipient, please contact the sender by reply email and destroy all
copies of the original message.
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
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?dput


Cheers,
Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Aug 24, 2016 at 3:00 PM, John Sorkin
<jsorkin at grecc.umaryland.edu> wrote:
>
> There is a function that can be used to convert data structures such as a
data frame into a different format that allows the data to be sent to the
mailing list. The structure that is created can be used to easily reconstruct
the data structure. Unfortunately, I don't remember the function that is
called on the data structure. Can someone remind me?
> Thank you
> John
> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
> Confidentiality Statement:
> This email message, including any attachments, is for ...{{dropped:12}}

I am trying to run a repeated measures analysis of data in which each subject
(identified by SS) has 3 observations at three different times (0, 3, and 6).
There are two groups of subjects (identified by group). I want to know if the
response differs in the two groups. I have tried to used lme. Lme tell me if
there is a time effect, but does not tell me if there is a group effect. Once I
get this to work I will want to know if there is a significant group*time
effect. Can someone tell me how to get an estimate for group. Once I get that, I
believe getting an estimate for group*time should be straight forward. The code
I have tired to use follows.
Thank you,
John
 
> data1
   SS group time     value  baseline
1   1  Cont    0  6.000000  6.000000
2   2  Cont    0  3.000000  3.000000
3   3  Cont    0  5.000000  5.000000
4   4  Inte    0 14.132312 14.132312
5   5  Inte    0  8.868808  8.868808
6   6  Inte    0 14.602672 14.602672
7   1  Cont    3 10.706805  6.000000
8   2  Cont    3  8.469477  3.000000
9   3  Cont    3  9.337411  5.000000
10  4  Inte    3 16.941940 14.132312
11  5  Inte    3 13.872662  8.868808
12  6  Inte    3 20.465614 14.602672
13  1  Cont    6 16.687028  6.000000
14  2  Cont    6 13.177752  3.000000
15  3  Cont    6 14.276398  5.000000
16  4  Inte    6 23.453808 14.132312
17  5  Inte    6 18.229053  8.868808
18  6  Inte    6 25.334664 14.602672
> # Create a grouped data object. SS identifies each subject
> # group indentifies group, intervention or control.
> GD<- groupedData(value~time|SS/group,data=data1,FUN=mean)
> # Fit the model.
> fit1 <- lme(GD)
> cat("The results give information about time, but does not say if the
gruops are different\n")
The results give information about time, but does not say if the gruops are
different
> summary(fit1)
Linear mixed-effects model fit by REML
 Data: GD 
       AIC      BIC    logLik
  81.38094 88.33424 -31.69047

Random effects:
 Formula: ~time | SS
 Structure: General positive-definite
            StdDev      Corr  
(Intercept) 3.371776404 (Intr)
time        0.009246535 1     

 Formula: ~time | group %in% SS
 Structure: General positive-definite
            StdDev     Corr  
(Intercept) 3.34070367 (Intr)
time        0.00915754 1     
Residual    0.61279061       

Fixed effects: value ~ time 
               Value Std.Error DF   t-value p-value
(Intercept) 8.512446 1.9511580 11  4.362766  0.0011
time        1.654303 0.0592047 11 27.942107  0.0000
 Correlation: 
     (Intr)
time -0.001

Standardized Within-Group Residuals:
       Min         Q1        Med         Q3        Max 
-1.9691671 -0.4876710  0.1559464  0.4637269  1.6069444 

Number of Observations: 18
Number of Groups: 
           SS group %in% SS 
            6             6 

 
John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing) 

Confidentiality Statement:
This email message, including any attachments, is for the sole use of the
intended recipient(s) and may contain confidential and privileged information.
Any unauthorized use, disclosure or distribution is prohibited. If you are not
the intended recipient, please contact the sender by reply email and destroy all
copies of the original message.