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summary statistics

8 messages · David Winsemius, Jorge Ivan Velez, milton ruser +4 more

#
describe() in Hmisc provides much of the rest of what you asked for:

 > describe(pref900$TCHDL)
pref900$TCHDL
       n missing  unique    Mean     .05     .10     .25     .50     . 
75     .90     .95
  906190    4469   16051   4.123   2.320   2.557   3.061   3.841    
4.886   6.054   6.867

lowest :  0.9342  1.0200  1.0522  1.1008  1.1061, highest: 19.8696  
20.1667 20.7619 21.6364 21.7200
On Feb 9, 2009, at 6:04 PM, phoebe kong wrote:

            
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At 6:41 PM -0500 2/9/09, David Winsemius wrote:
As does describe in the psych package

describe(sat.act)
var   n   mean     sd median trimmed    mad min max range 
skew kurtosis   se
gender      1 700   1.65   0.48      2    1.68   0.00   1   2     1 
-0.61    -1.62 0.02
education   2 700   3.16   1.43      3    3.31   1.48   0   5     5 
-0.68    -0.07 0.05
age         3 700  25.59   9.50     22   23.86   5.93  13  65    52 
1.64     2.42 0.36
ACT         4 700  28.55   4.82     29   28.84   4.45   3  36    33 
-0.66     0.53 0.18
SATV        5 700 612.23 112.90    620  619.45 118.61 200 800   600 
-0.64     0.33 4.27
SATQ        6 687 610.22 115.64    620  617.25 118.61 200 800   600 
-0.59    -0.02 4.41

see also describe.by to break this down by some grouping variable.

Bill

  
    
  
#
A recent thread on summary statistics, got me thinking. (Note this may not
happen often.) A function that would do summaries as describe below (similar
to SAS PROC UNIVARIATE) might be a nice addition to the main R system. Is
there a process by which functions, from packages can eventually be
incorporated into R. The reason I ask, is having them in R would guarantee
they get adequate testing. This would be helpful, for GLP and GCP
validation.

Murray M Cooper, Ph.D.
Richland Statistics
9800 N 24th St
Richland, MI, USA 49083
Mail: richstat at earthlink.net

----- Original Message ----- 
From: "William Revelle" <lists at revelle.net>
To: "David Winsemius" <dwinsemius at comcast.net>; "phoebe kong"
<sityeekong at gmail.com>
Cc: <r-help at r-project.org>
Sent: Monday, February 09, 2009 9:06 PM
Subject: Re: [R] summary statistics
#
William Revelle wrote:
and if you want to roll your own descriptive stats, the describe 
function in the prettyR package (confusing, isn't it?)

Jim
1 day later
#
Thanks a bunch! They all are helpful :)
On 2/10/09, Jim Lemon <jim at bitwrit.com.au> wrote: