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Re: st: RE: RE: rearrange table#2 -add variables
From
Nikolaos Pandis <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: RE: RE: rearrange table#2 -add variables
Date
Fri, 10 Feb 2012 04:30:54 -0800 (PST)
Dear Nick and Phil,
Many thanks for your help.
I did try it and it worked!
It does seem like a complicated process!
Extending the previous question.
What if I would like to get only frequencies but add additional variables like below. I assume I can follow the icluded code to get the frequencies instead om mean, sd and cis, but how could i add the other variables?
level1 level2 level3
var1
var2
var3
I have found the user written command -tabw- and it would work if i could somehow supress the missing values or select only to show frequencies of let's say only 1-3 instead of from 1-9 etc.
Thank you,
Nick
Nick
----- Original Message -----
From: Nick Cox <[email protected]>
To: "'[email protected]'" <[email protected]>
Cc:
Sent: Friday, February 10, 2012 2:06 PM
Subject: st: RE: RE: rearrange table
sysuse auto, clear
statsby N=r(N) se=r(se) mean=r(mean) ub=r(ub) lb=r(lb), by(foreign) : ci mpg
gen sd = se * sqrt(N)
drop se N
rename (sd mean lb ub) (statsd statmean statlb statub)
reshape long stat, i(foreign) string
label def which 1 mean 2 sd 3 lb 4 ub
encode _j , label(which) gen(which)
label def which 3 "95% limit: lower" 4 "upper", modify
tabdisp which foreign, c(stat) format(%3.2f)
Nick
[email protected]
Nick Cox
In terms of -table-, the answers are
1. I don't think you can do this.
2. -table- has its own option -format()-: see the help.
3. I don't think you can do this.
In terms of strategy, just as in another thread: reduce your data to a dataset of results -- some people say resultsset -- for maximum flexibility.
Here -statsby- is very useful.
One approach:
. sysuse auto, clear
(1978 Automobile Data)
. statsby mean=r(mean) ub=r(ub) lb=r(lb), by(foreign) : ci mpg
(running ci on estimation sample)
command: ci mpg
mean: r(mean)
ub: r(ub)
lb: r(lb)
by: foreign
Statsby groups
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
..
. save bystat, replace
file bystat.dta saved
. sysuse auto, clear
(1978 Automobile Data)
. statsby sd=r(sd), by(foreign) : su mpg
(running summarize on estimation sample)
command: summarize mpg
sd: r(sd)
by: foreign
Statsby groups
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
..
. merge 1:1 foreign using bystat
(label origin already defined)
Result # of obs.
-----------------------------------------
not matched 0
matched 2 (_merge==3)
-----------------------------------------
. drop _merge
. rename (sd mean lb ub) (statsd statmean statlb statub)
. reshape long stat, i(foreign) string
(note: j = lb mean sd ub)
Data wide -> long
-----------------------------------------------------------------------------
Number of obs. 2 -> 8
Number of variables 5 -> 3
j variable (4 values) -> _j
xij variables:
statlb statmean ... statub -> stat
-----------------------------------------------------------------------------
. label def which 1 mean 2 sd 3 lb 4 ub
. encode _j , label(which) gen(which)
. label def which 3 "95% limit: lower" 4 "upper", modify
. tabdisp which foreign, c(stat) format(%3.2f)
-------------------------------------
| Car type
which | Domestic Foreign
-----------------+-------------------
mean | 19.83 24.77
sd | 4.74 6.61
95% limit: lower | 18.51 21.84
upper | 21.15 27.70
-------------------------------------
Here's the code in one:
sysuse auto, clear
statsby mean=r(mean) ub=r(ub) lb=r(lb), by(foreign) : ci mpg
save bystat, replace
sysuse auto, clear
statsby sd=r(sd), by(foreign) : su mpg
merge 1:1 foreign using bystat
drop _merge
rename (sd mean lb ub) (statsd statmean statlb statub)
reshape long stat, i(foreign) string
label def which 1 mean 2 sd 3 lb 4 ub
encode _j , label(which) gen(which)
label def which 3 "95% limit: lower" 4 "upper", modify
tabdisp which foreign, c(stat) format(%3.2f)
On -statsby- see also
SJ-10-1 gr0045 . . . . . . . . . . . . . Speaking Stata: The statsby strategy
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox
Q1/10 SJ 10(1):143--151 (no commands)
demonstrates the use of statsby to prepare a reduced
dataset for subsequent graphing
Nick
[email protected]
From: [email protected] [mailto:[email protected]] On Behalf Of Nikolaos Pandis
I am running the following commands:
. format percent %4.2f
. table title,contents(mean percent sd percent )
---------------------------------------------
title | mean(percent) sd(percent)
---------------+-----------------------------
No description | 57.74 3.619958
Inadequate | 61.11 5.202971
Adequate | 65.50 5.015084
---------------------------------------------
I would like to ask:
1. How can I place the title levels(no description, inadequate, adequate) as columns and the summary stats as rows.
2. How could I reduce to 2 the decimal points for sd.
3. Is there a way to add 95% CIs?
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* http://www.ats.ucla.edu/stat/stata/