[R] summary statistics

Jim Lemon jim at bitwrit.com.au
Tue Feb 10 09:31:25 CET 2009


William Revelle wrote:
> At 6:41 PM -0500 2/9/09, David Winsemius wrote:
>> 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
>>
>
> As does describe in the psych package
>
> describe(sat.act)
>>  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
>
>
>
>
>> On Feb 9, 2009, at 6:04 PM, phoebe kong wrote:
>>
>>> Hi all,
>>>
>>> I'm wondering if there is a function that can return summary 
>>> statistics:
>>> N=total number of observation, # missing, mean, median, range, standard
>>> deviation.
>>>
>>> As I know, summary() returns some of info I've mentioned above.
>>>
>>> Thanks,
>>> SY
>>>

and if you want to roll your own descriptive stats, the describe 
function in the prettyR package (confusing, isn't it?)

Jim



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