Sample Data on Birth Weights of Male
Chinese From Box 4.1.
Repeated measurements on 65 plots from even-aged
natural Douglas fir stands
Fisher's Iris Data
Sexual Activity and the Lifespan of Male Fruitflies
Genetic Distances of Agronomic Traits of Soy Beans
Pinus hartwegii data
Homicides in Detroit Data
Housefly Population from Table 6.1.
Jersey Cow Population: Milk Yields From Table 6.1.
Prediction Models for Personal Ozone Exposure Assessment
The Ratings of NFL Quarterbacks through 1994
The Geometry of Pollen Grains
Normal Body Temperatures
Televisions, Physicians and Life Expectancy
Worm Counts (Lumbricus terrestris) for various
soil conditions
Cherry leaf spot inoculation
Sample Data on Birth Weights of Male Chinese
From Box 4.1.
data birthw;
label weight = 'birth weight (ounces)'
freq = 'Frequency'
cumfreq = 'Cumulative freq';
input weight freq cumfreq;
* data go after the next line;
datalines;
;
run;
Repeated measurements on 65 plots from even-aged natural Douglas fir stands
data DougFir;
label plot = 'Plot-No'
TPA = 'Trees per acre'
AGE = 'Age (years)'
BA = 'Basal are (m^2)'
Height = 'Dominant height (m)'
SiteI = 'Site Index (m)'
Vol = 'Volume (m^3)';
input plot TPA AGE BA Height SiteI Vol;
* data go after the next line;
datalines;
;
run;
data FishIris;
label SpecNo = 'Species No'
SpecName = 'Species Name'
PetWidth = 'Petal width'
PetLngth = 'Petal length'
SepWidth = 'Sepal width'
SepLngth = 'Sepal length';
input SpecNo $1-2 SpecName $9-22 PetWidth PetLngth SepWidth SepLngth;
* data go after the next line;
datalines;
;
run;
Sexual Activity and the Lifespan of Male Fruitflies
data Fruitfly;
label ID = 'Serial No within group'
Partners = 'No of companions'
CompType = 'Type of companion'
Longev = 'Longevity in days'
Thorax = 'Length of thorax (mm)'
SLEEP = '% of day spent sleeping';
input ID $1-2 Partners CompType Longev Thorax Sleep;
* data go after the next line;
datalines;
;
run;
Genetic Distances of Agronomic Traits of Soy Beans
data GenDist;
label FemPar = 'Female parent'
MalPar = 'Male parent'
GD = 'Genetic Distance'
RFD = 'Restr. Fragment Distance'
RPD = 'Random Ampl. Polym. Distance'
VarY = 'Variance in Yield'
VarM = 'Variance in Maturity'
VarH = 'Variance in Height'
VarL = 'Variance in Lodge';
input FemPar $1-11 MalPar $14-24 GD RFD RPD VarY VarM VarH VarL;
* data go after the next line;
datalines;
;
run;
data Hartwegi;
label TreeNo = 'Tree No'
DBH = 'Diameter at breat height (in)'
H = 'Height (ft)'
Vol = 'Volume (cu ft)';
input TreeNo Dbh H Vol;
* data go after ther next line;
datalines;
;
run;
data Homicide;
label FTP = 'Full-time police per 100,000 pop.'
UEMP = '% unemployed'
MAN = 'No of manufacturing workers in thous'
LIC = 'No of handgun licences per 100,000 pop.'
GR = 'No of handgun registr. per 100,000 pop.'
CLEAR = '% homicides cleared by arrests'
WM = 'No of white males in the pop.'
NMAN = 'No of non-manufacturing workers in thous'
GOV = 'No of government workers in thousands'
HE = 'Average hourly earnings'
WE = 'Average weekly earnings'
HOM = 'No of homicides per 100,000 of pop.'
ACC = 'Death rate in accidents per 100,000 pop.'
ASR = 'No. of assaults per 100,000 pop.';
input FTP UEMP MAN LIC GR CLEAR WM NMAN GOV HE WE HOM ACC ASR;
* data go after next line (make sure to remove the first line
with the variable names);
datalines;
;
run;
Housefly Population from Table 6.1.
data HouseFly;
label Obs = 'Obs. No'
Wing = 'Wing lengths in tenth of a mm'
ID5 = '1 = in SRS of size 5'
ID10 = '1 = in SRS of size 10'
ID20 = '1 = in SRS of size 20'
ID40 = '1 = in SRS of size 40';
input Obs Wing ID5 ID10 ID20 ID40;
* data go after the next line;
datalines;
;
run;
Jersey Cow Population: Milk Yields From Table 6.1.
data Jersey;
label Obs = 'Obs. No'
Milk = 'Milk yield in 100 lbs./year'
ID5 = '1 = in SRS of size 5'
ID10 = '1 = in SRS of size 10'
ID20 = '1 = in SRS of size 20'
ID40 = '1 = in SRS of size 40';
input Obs Milk ID5 ID10 ID20 ID40;
* data go after the next line;
datalines;
;
run;
Prediction Models for Personal Ozone Exposure Assessment
data Ozone;
label Date = 'Date of measurement'
DC = 'Daytime continuous concentr.'
DP = 'Daytime passive concentr.'
NC = 'Nighttime continuous concentr.'
NP = 'Nighttime passive concentr.';
input Date mmddyy8. DC DP NC NP;
format date mmddyy8.;
* data go after the next line;
datalines;
;
run;
The Ratings of NFL Quarterbacks through 1994
data NFLPass;
length QBFName $12 QBLName $20;
label Attempt = 'Passing attempts'
Complete = 'Passing completions'
Yards = 'Passing yards'
TD = 'Passing touchdowns'
Int = 'Interceptions'
Rating = 'NFL rating'
QBFName = 'First name of passer'
QBLName = 'Last name of passer';
input Attempt Complete Yards TD Int Rating QBFName QBLName;
* data go after the next line;
datalines;
;
run;
data Pollen; input ridge nub crack weight density obsNo; drop ObsNo; * data go after the next line; datalines; ; run;
data bodytemp;
label temp = 'Body temperature'
gend = 'Gender as 1 or 2'
gender = 'Gender'
heart = 'Heart rate';
length gender $6;
input temp gend heart;
if gend=1 then gender = 'Male'; else gender = 'Female';
* data go after next line;
datalines;
;
run;
Televisions, Physicians and Life Expectancy
data TVs;
label country = 'Country'
LifeExp = 'Life expectancy'
PeoPerTv = 'People per television'
PeoPerPh = 'People per physician'
FemLife = 'Female life expectancy'
MaleLif = 'Male life expectancy';
input country $1-16 LifeExp PeoPerTv PeoPerPh FemLife MaleLif;
* data go after the next line;
datalines;
;
run;
Worm Counts (Lumbricus terrestris) for various soil conditions
data Worms;
label tillage = '1=chisel plow, 2=no-till'
level = '1=Conventional, 2=low'
manure = '1=not manured, 2=manured'
crop = '1=corn, 2=soybeans'
Nojuv = 'No of juvenile worms'
Noadult = 'No of adult worms';
input tillage level manure crop Nojuv Noadult;
* data go after the next line;
datalines;
;
run;
data cherries;
label species = 'Cherry species'
leaf = 'No of leaf'
TreeNo = 'Tree-No'
spots = 'No. of B. jaapi spots'
spotscm2 = 'Spots per square cm';
input species $1-15 TreeNo leaf spots area spotscm2;
* data goes after the next line;
datalines;
; run;