[R] summary statistics

[phoebe kong]

Thanks a bunch! They all are helpful :)

On 2/10/09, Jim Lemon <jim at bitwrit.com.au> wrote:
> 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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