Re: Dealing with large data sets
- To: mathgroup at smc.vnet.net
- Subject: [mg42968] Re: Dealing with large data sets
- From: "Christos Argyropoulos M.D." <argchris at otenet.gr>
- Date: Thu, 7 Aug 2003 00:53:28 -0400 (EDT)
- References: <bgqabr$dd6$1@smc.vnet.net>
- Sender: owner-wri-mathgroup at wolfram.com
Hi,
Did you load the package Statistics`DescriptiveStatistics first ?
In[4]:= << Statistics`DescriptiveStatistics`
data = {0.217,
0.434,
0.652,
0.217,
0.869,
0.268,
1.303,
0.433,
4.118,
0.561,
0.18,
0.359,
0.539,
0.18,
0.718,
0.139,
1.077,
0.848,
0.696,
3.976,
0.549,
0.509,
0.125,
2.498,
0.625,
0.213,
0.427,
0.64,
0.213,
0.854,
0.229,
1.28,
1.273,
0.392,
1.28,
0.764,
0.196,
3.922,
0.98,
0.183,
0.367,
0.55,
0.183,
0.734,
0.157,
1.101,
1.003,
0.602,
3.007,
0.392,
0.602,
0.154,
3.084,
0.771};
Mean[data]
Out[6]= 0.882278
I have used Mathematica (4.2 under WindowsXP) to analyse huge (microarray)
datasets consisting of >500k numbers without problems, so if you run in any
other difficulties with your dataset you can contact me personaly (use
charg at NOmed.upatras.gr removing NO)
Christos Argyropoulos
----- Original Message -----
From: "Rees" <civnrn at hotmail.com>
To: mathgroup at smc.vnet.net
Subject: [mg42968] Dealing with large data sets
> Dear all,
>
> I have a large dataset (156381 points) and I wish to fit a
> distribution to the dataset. However I cannot seem to get Mathematica to
> recognise the dataset. I imported the data as "testdata" then did
> Mean[testdata]. Unfortunately this command just repeated the data and
> failed to give me the mean value.
>
> I repeated everything using another data format:
> {0.217,0.434,0.652 etc...} with the same response.
>
>
> Any help greatly appreciated.
>
> Rees
>
> DATASET:
>
> 0.217
> 0.434
> 0.652
> 0.217
> 0.869
> 0.268
> 1.303
> 0.433
> 4.118
> 0.561
> 0.18
> 0.359
> 0.539
> 0.18
> 0.718
> 0.139
> 1.077
> 0.848
> 0.696
> 3.976
> 0.549
> 0.509
> 0.125
> 2.498
> 0.625
> 0.213
> 0.427
> 0.64
> 0.213
> 0.854
> 0.229
> 1.28
> 1.273
> 0.392
> 1.28
> 0.764
> 0.196
> 3.922
> 0.98
> 0.183
> 0.367
> 0.55
> 0.183
> 0.734
> 0.157
> 1.101
> 1.003
> 0.602
> 3.007
> 0.392
> 0.602
> 0.154
> 3.084
> 0.771
> data continues down 156381st row
>