git-svn-id: https://pmtkdata.googlecode.com/svn/trunk@39 49fcfb0e-06c…

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04cars/04cars-meta.txt

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+% PMTKdescription 
+% PMTKsource 
+% PMTKtype 
+% PMTKfileSize 35.2 KB
+% PMTKncases 
+% PMTKndims 

04cars/04cars.txt

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+NAME:  2004 New Car and Truck Data
+TYPE:  Sample
+SIZE:  428 observations, 19 variables
+
+DESCRIPTIVE ABSTRACT:
+Specifications are given for 428 new vehicles for the 2004 year. The variables recorded include price, measurements 
+relating to the size of the vehicle, and fuel efficiency.
+
+SOURCE:
+_Kiplinger's Personal Finance_, December 2003, vol. 57, no. 12, pp. 104-123, http:/www.kiplinger.com (permission to post on 
+the JSE Web site kindly granted by PARS International Corporation, 102 West 38th Street, New York, NY 10018)
+
+VARIABLE DESCRIPTIONS:
+
+Columns	Variables
+  1- 45	Vehicle Name
+ 47		Sports Car? (1=yes, 0=no)
+ 49		Sport Utility Vehicle? (1=yes, 0=no)
+ 51		Wagon? (1=yes, 0=no)
+ 53		Minivan? (1=yes, 0=no)
+ 55		Pickup? (1=yes, 0=no)
+ 57		All-Wheel Drive? (1=yes, 0=no)
+ 59		Rear-Wheel Drive? (1=yes, 0=no)
+ 61- 66	Suggested Retail Price, what the manufacturer thinks the
+		vehicle is worth, including adequate profit for the
+		automaker and the dealer (U.S. Dollars)
+ 68- 73	Dealer Cost (or "invoice price"), what the dealership pays
+		the manufacturer (U.S. Dollars)
+ 75- 77	Engine Size (liters)
+ 79- 80	Number of Cylinders (=-1 if rotary engine)
+ 82- 84	Horsepower
+ 86- 87	City Miles Per Gallon
+ 89- 90	Highway Miles Per Gallon
+ 92- 95	Weight (Pounds)
+ 97- 99	Wheel Base (inches)
+101-103	Length (inches)
+105-106	Width (inches)
+
+Values are aligned and delimited with blanks.
+Missing values are denoted with *.
+
+RELATED DATASETS:
+
+A similar dataset appeared as one of the sample datasets shipped with the _Student Edition of Execustat_ (PWS-KENT 1990).
+
+Another similar dataset, submitted by Robin Lock, may be found in the _Journal of Statistics Education_ dataset archive at 
+http://www.amstat.org/publications/ jse/datasets/93cars.dat. The accompanying article "1993 New Car Data", Journal of 
+Statistics Education, vol. 1, no. 1, by Lock (1993) may be found at the site 
+http://www.amstat.org/publications/jse/v1n1/datasets.lock.html.
+
+COMMENTS ON MISSING VALUES:
+Length and Width of pickup trucks were not given in _Kiplinger's_. Possible updates to the dataset (viewable on a vehicle 
+by vehicle basis) may be found at the site http://www.kiplinger.com/tools/carfinder/; these updates may allow some of the 
+missing values to be filled in.
+
+PEDAGOGICAL NOTES:
+This is a multi-purpose dataset that can be used at many points in an introductory statistics course. It includes several 
+numeric variables which can be examined across a choice of several categorical variables. Students tend to be familiar with 
+most of the variables. Furthermore, they also tend to be able to anticipate and pose explanations for many of the 
+relationships between variables. Suggested Retail Price/Dealer Cost and the two MPG variables are popular choices as 
+response variables. One suggested exploration - try fitting the MPG variables as linear in reciprocal weight (clear 
+outliers to this strongly linear pattern are the hybrid gas/electric cars). Other explorations are suggested in the 
+article of Lock (1993) referenced above.
+
+SUBMITTED BY:
+Roger W. Johnson
+Department of Mathematics & Computer Science
+South Dakota School of Mines and Technology
+501 East St. Joseph Street
+Rapid City, South Dakota  57701
+(605) 355-3450
+[email protected]
+
+

04cars/04carsReadData.m

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+% Parse the file 04cars.dat from
+% http://www.amstat.org/publications/jse/datasets/04cars.txt
+
+if 0
+fid = fopen('04cars.dat');
+%dat = textscan(fid, '%45c%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d');
+while 1
+  tline = fgetl(fid);
+  if ~ischar(tline), break, end
+  disp(tline)
+end
+fclose(fid);
+end
+
+%Cosma Shalizi has already parsed the data and removed rows with missing values
+% http://www.stat.cmu.edu/~cshalizi/350/lectures/10/cars-fixed04.dat
+
+data = importdata('04cars-fixed.csv');
+X  = data.data; % 387 rows, 18 features, 1-7 are binary, rest are integer
+names = data.textdata(2:end);
+types = [repmat('b', 1, 7) repmat('c', 1, 11)];
+header = data.textdata{1};
+ndx = strfind(header, ',');
+ndx(end+1) = length(header)+1;
+start = 1;
+for i=1:length(ndx)
+  stop = ndx(i)-1;
+  varlabels{i} = header(start:stop);
+  start = ndx(i) + 1;
+end
+
+save('04cars.mat', 'X', 'names', 'varlabels', 'types')

14cancer/14cancer-meta.txt

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+% PMTKdescription 
+% PMTKsource 
+% PMTKtype 
+% PMTKfileSize 12.8 MB
+% PMTKncases 
+% PMTKndims 

14cancer/14cancer.info

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+14-cancer  gene expression data. 16,063 genes, 144 training samples,
+54 test samples. 
+
+One gene per row, one sample per column
+
+Cancer classes are labelled as follows:
+
+1.  breast
+2.  prostate
+3.  lung
+4.  collerectal
+5.  lymphoma
+6.  bladder
+7.  melanoma
+8.  uterus
+9.  leukemia
+10. renal
+11. pancreas
+12. ovary
+13. meso
+14. cns
+
+Reference:
+
+S. Ramaswamy and P.  Tamayo and  R. Rifkin and S. Mukherjee and C.H. Yeang and
+M. Angelo and C. Ladd and M. Reich and E. Latulippe and J.P. Mesirov and
+T. Poggio and W. Gerald and M. Loda and E.S. Lander and  T.R. Golub (2001)
+
+Multiclass Cancer Diagnosis Using Tumor Gene Expression Signatures
+
+Proc. Natl. Acad. Sci., 98, p15149-15154.
+
+