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RESEARCH REPORT

Statistical g raphics in SURVO 76 EDITOR

BY

Seppo M,ustonen

No.33 Febru ary 1982

DEPARTMENT OF STATISTICS UNIVERSITY OF HELSINKI

SF OOlOO

HELSINKI

1O

FINLAND

tsBN 951-45-2561-2 tssN 0357 -9778

(2)

S.l'lustonen:

Statistical

sraphics

in

SURV0 76

EOITOR t6.e.tg8p I

1. Introduction

The

interactive statistical

systen SUfiVtl ?6 provides several neanE

for graphical

representation

of statistical data.

Thpre are nodules

like

DIAGRAI'I and PL0T

for scatter

diagrans and tinre series, HIST0

{gr

histograms and frequency curvesr

CURVE

{sr analytic

ciJrves,

SURFACE

for analytic

sur{aceE

in central projection,

SCURUE

{or

Andress'

{unction plots,

FACES

for

Cherns{{'s faces,

CURVEA

for analytic

curves

in implicit

form.

During SURV0 ?6 conversations

ihe

graphs

are

created by entering the paraneters needed

for plotting,

The

plots

may be constructed gradually through geveral steps and various gråphs (

like scatter

diagrams and

cutves) may be conbined

in the

sane

picture.

SURU{I ?5 EOIT0B

is

an extension

of ihe

systen

o{{ering report

gensr-

ating

and

text

processing

activities.

EDIT0R

also

includes procedures

for interactive

numerical and

stetiEtical

computing

in editorial

node

(l{ustonen 1980, 1981 ).

0n

this

besiE

it is naiural ta

develoF procedures

{or statiEtical

gråphics,

too,

SURV0 ?6 EDIT0R notl includes

a

FLOT operation

{or

these

tasks.

FL0T

is able to

prsduce,

for

example,

the folloning

graphic

represEntations on

the

graphic IRT:

h,gr,_d"*g*fgp,g

(vertical

ånd

hnrizontal, rr

frequencieE and

pprcFntagBs,

single

ånd

multiple, pie

chartE,

matrix

diagrämg) scg!.!gl. $.laptp.tnp (wit

h

severä 1 optiona

I

charac ter'ist"ics i

p r obab

i lity

p lgts ,

n_Lp!:

.,pf

trnu

ltip

le

)

t;p.g"Sgt*eg

p rI+ I y Lg.-r-u r vF.å s:rd.*tås

i.hsl-ql--q!.uså

As an axanple

let

us consider

the plotting of a ber diagran. In

the upper

half of the display 1.1

ne have

a

data Eet and

a

FL0T operation typed

in the edit {ield. In the louer part o{ the

sane

display

the graph creaied by

activatins the

FL0T operation

is

preEentEd, Activa-

tion of the

FLOT operation takes

place,

ås always

in

EOIT0R oper-

ations,

by

{irst

noving

the

cursor

to the

operation

line

and ihen pressins

the

key C0liTINlJE.

(3)

5 " l'lu ston Fn

: Statigtica I

g rap hic E

in

SURU* ?{' En I TCI R 1L

.-} 1L.TL}'J -L\JaLe.t-tlJl-

DtåP *"å. .1

I jl

I

s

{ 100x 1

t

? t

i-l

4 5 6 7

I I

tCI 11

H

{Fr

14

suRu0 76 rDililR

([]13?9

ä"1'lustsnen

*

*Number'

of

rnåIrs .t1000i i"n

vårisus

åge srnuFg

*

*DATA I,IALT S, A , B, il

tl

0-14 15-ä4 A

$weden 841

5?1

*

Denmarl.<

564

395

*

Fen

Land 5öä

399

n Iceland 3ä

ää

B

Norway 474

316

*

-tPLO T I,IALT 5

* t

e5*44 45*e,4

118fi

930

7::r

5:r?

7?.1

468

ä9

ä0

534

444

65*

t- {Jt- JL'J rrfrfl

;'Uö pöil

1,0

ä5r

HBf;R D I frGRNT,I

|]F

14 ftLES Su*red en

Denirrark

Flnland Icelend

l,l

oruöy

1000 2'J00 3000 4 0#fJ 5 000

o-r4 n

1s-24

m ?s-44 m 4s

64

ffi 6s-ffi

Hhen

plottins bar

diagrans

the

FL0T cperation has

onl'/

ane påråme-

ter, the

nane

o{ the

data

set to

be

ptatted (in this

case I'IALE$i" The

data

set

has

to

be de{ined by

a

DATA

specificatisn.

0ATA {on

line

4}

gives

the

nane

of the

data

set

{I'IALES),

the {irst

and

lest line

a{

observation values (A,B) and

the line o{ the

colunn

labels

(l'l).

In this

cåse

a plain

FLOT operation produces

the

graph Presented in

the

lourar

hal{ o{ drsp.1.1,

bui, various featureE,

of tlre ploi

nay

easrly

be adjusted by neans

o{ eLtra

specifrcationE uhich

are

tvPed

in

ttre

edit fie.ld prior to activation of

the PL0T oPeratron.

For instance, to

nake

tlre

sane graph

in vertical

bars and

in

per-

centages, we add

the speci{ication

IYFE=ZVBAR

in the edrt {ield

and

after actrvatisn o{ the

FL0T operation we have

(4)

S.l'luEtonen

I Statrstical

graFhics

in

SURUO 76 EDIT0R 16, e . 198[

[rEP-*fd

SURUO 76 ID I TOR (

[

] 13 79 $. l'1u Eton en

I

e

4

5 6 7

I

9 10 11

u

J-r-lt:r

14

*

*Number'

nf

ma

leE

( 1000

)

rn

*

*DA TA I,IALE $, A , B, I,1

1,1

0-14 15-e4 e5*44 A

$weden 841 57f

11BB

t

D ennar

k 564 ::85

731

*

F in lan

d 506 399

7?7

*

Ice

land ::ä ??

e9

B

Nnrway 474 316

5::4

f;

*FL0T t'lALt5_

* TYFE =TUtsA R

*

vår'iouE åge gr0upg

45-64

6s-

9::0

585

5:r?

:r08

468

e 0e

e0

10

44?

?51

U UBåFi

.t n'n

I UU 80 (,4

4A

t\ tt

TU

D i AGR NI'{ OF l,1 ALES

S'*,e d en Denna rk

Flnland Icel.and

Nonrray

o-14

n

1s-a4

ffi

?s*44

m 4s*64ffi 6s- ffi

Several

extre speci{ications

are

available

dppending on

ihe

type o{

graph

in question.

Each

speci{ication

has

a defautt

value uhich cor- responds

ts

some

kind of a

standard

alternative.

Thus even

without

any

extra specr{icatirns a

reasonable

plot

should be obtaj.ned, as a1r'eady seen

in Disp.l.l. In fact, rn this

case

the de{ault

valups

o{

the

extra specifrcatrons

correspond

to the follouing

s,et up2

(5)

S.l'lustonenl

Statrstiral

graphics

in

5URU0 76

EDIT0R 16,r,198ä

4

D-rge'å#

E. 1*

*Number

nf

ma

les

t:!.000

) in vsrisus

ågB sr'$ups

3* 4

*DA TA l'lAlt S, ff , El, f,l

5

l-l fi-14 15-ä4 ä5-44

45-64

65*

6

A Stl *d

en

S4

I 571 11S8 9:r0

5fr5

1 *

D enmar

k 564 :r85 ?:rl 5:t?

308

8 *

F in lan

d 506 ::99 7X7 468

ä0ä

I * Iceland 3ä äA tg ä0

ICI

10 n Narnray 474 316 534 44ä

ä51

11

*

*F Ltl T l{Alt S-

tg

*TYF t=HBAR DEUI[[=S

l-4

*H0l'trE =10CI ,

$ I Zt =6{10 , 4 St]

15

# SCALE =ö , 1ö00 n ä 0t]0., SSSS , 4 00* , 5öfi0

16

*SHADIT'IG=0,ä,4,7,9

17

ILEGENS=-

ls

*HEADäR"[EFf,_ i$å9Fry"_g[*mLH_S

19

*XSIU=ä,9,1 YSIU*f;,5,tr F'[N=L

ä0

*

el

*

ää* ä3*

0bserve

that the

order

of the extra speci{ications is innaterlel. If

a specification

appears several

tines in the edit {ield, the {rrst r,rilI

be used.

In

order

to

have several

plotting

schemes

in the

sane

field, albor- der line o{ the forn lt. ... (as line

21 above) can be

set to

rso-

late

then {rom each

other.

The data

setg,

defined by

the

DATA

specr{i- cations, åre,

hor,lever, 9lobaI and accessible

fron

any

subfield

lirnited by

the *.,... lines.

To gain

the

nexinum adventage

o{ this

technique,

the

user may create

edit {iies

containing ready made

ptotting

schemes

{or

subsequent app-

Iisations. Typically,

from one tlell-designed

plotting

scheme geveral

variants

nay be

rapidly

composed by

editins

sone

of the extra apeci{i-

cations.

At thp

end

of this report

an appendix

including

several reedy-nede

plotiing

schemes together

sith the {inel

output

t+ill

be prese'nted.

Hence,

the

user nay

easily

generåte

his

ot,tn solutionE ofi

the

basis

of

theEe exanples.

The next chapter

t.litl

be devoted

to a

nore thorough account on the

PLUT operation

in

various fonns

o{ plots.

The

plots in the

appendix are alEo

to

be used as an

rllustration of the {acts

presented.

During

the actual sork at the

computer

infornation

needed

fsr plot-

ting

nay be obtained by using

the inquuy

system

o{

5URU0 76 EDIT0R.

The keyword PLOT? displays

all the essentials

nelated

to the

PL0T operation and

to rts extra

specrfications.

i.

$URV0 76

[DI'filR

([i"t973

S.l"tustonpn

{100x100}

(6)

S.l,lustoneni

Statistical

graphrcs

rn

5URV0 76

EDIT0R 16.e.198e

5

2.

The PL0T.opBqation and 1_ts

exira

speci{icatrong

The

{ollowing

chapters

will

cover

the rules for

using

the

PL0T

operation

in ptotting

varioug types

n{ statistical

graphs. Exenples

ane given

in the

appendix.

AlI

forms

nf the

FL0T operation

require that the

data

to

be plotted

rs

presented under

a

DATA

specifrcation.

DATA inane

of the dala set),L1,LI,L::

de{rnes

a

data Eet on lineE

Ll-L?.

Each

line

includes one observation

vector in the

{orn.{name

o{

observation)

X(f) X(2) .., X(l'l). Line

LS specr{res

the

names

o{ the

varrables

X(1),...1(l'1

).

Note

also that tlre line lebels Ll,Le,L3 ny'be either integers

or Eymbolic

(a

character placed

in

tl-re

control

colunn),

2.1

Bar and

pie

diaqrams PL0T .iname

of a

data set)

plots a

h,ar diagrarn

o{ a

data

set

de{ined by

a

DATA

speci{ication, Piotting is controlled

by

the follskring ertra specifications

typed in

the edit {ipld!

TYPE, SCALE" SHAOINS' LEGEND, HEAOER, TEXT, HOl'tE,

SIZE, XOIU, YDIV, EAF, SPACING, PLAN" LI}1ITS,.FEN, FRAI.IE,

A.1.1.

TYFE

TYPE speci{ieE

the type of the bar

diagran

in the

PLUT operation.

0e{ault is

TYFE=HBAR

(hsrizsntal

bar

diagran}.

The

alternatives

arE

TYFE=UBAR

vertical bar

diagran,

TYFE=ZHBAR

horizsntal bar

diagran

in

percentages,

TYPE=lUBAR

-

vertical bar

diagram

in

percentages,

TYPE=l'tHBAR

nultiple horizontal

ban diagran,

TYPE=l,lUBåR

nultiple vertical bar

diagran

TYPE=P IE

rnuitiple pip

diagran

tfntal

åreå Fropontional

to

cslunn sun)

TYPE=XP IE

nultiple pie

diagran

(t'otal

area=constant)

TYPE=i'IATRIX

natrix

diagram

nith

shåded

cells

according

to the

data values

a.1.e.

scALE

SCALE=tlst value),'iEnd

value),.,.,{nax.va}ue}

specifies the

Ecale and

the scale labels

on

the X-axis in

HBAR dia-

grans and on

the Y-axis in

VBAR diagratns.

I+

SCALE

is nst

given,

scaling

and

labelling is

automatic and EelectEd by using

the

valueE

in the

data

set

as

a basis.

Hence, when automatic

scaling is

used, no

overflow

o{

bars

in the

gnaph may occut.

SCALE=- neanE

that ihe

(automatic) scale

uill not

be displayed.

(7)

S.l{ustoneni

$tatistical

sraphics :.n SURU0 76

EDIT0R 16"t.198e

6

E.1.3.

SHADING

SfiADING=i,hst

o{

shading values

0,1,e'...,10) or 0,-1r-8,...,-10 or

0r11,le'13'14

specifies a

shading

{or

each

section of the bars.

The vålues

0,1'e,...

rå+er

t0

tones {rom

u*hite" t0 "black"

(on Paper),

I+

SHAOING

is not given, the

shading valueg depend on

the

nunber g

of variables {sections) to

be

plotted.

$ection

i siil

then have sha-

ding

value R0UND(11*(i-I)/g,0). For eranPle,

i{

g=5,

the de{auIt

cor- responds

to

SHADIt'lG=0,?,4, ?,9.

E.

I.4.

LEEENO

LE0END ={str ing*}, rthou t-.spac es)

gives

a declaration for the dif{erent

shadings specr{red autonatrcally

or

by $HACIING.

Oefault is

an errPtv

string {r.e.

no

decleration,

but

list o{

shadings

is plotted),

LEGEND=- neens

that all

declaratrons are osritted.

A,1.5

HEAOER

HEADE R=.lstr in g-t,, itl-rou t-sPac es)

gives

a title to-be plotted in the

upper

le{t

corner

o{ the

prcture

area.

De{au

lt rs

HEADER=r.tyPe}

-D IAGRAl't-0F-i.datai

Since

underlining is

ignored

in plotting,

undenline

the

whole

text

or use

'-' in

place

o{ a

blank.

HEA0ER=- neans

that

no header

is plotted.

l'fore

text

mey be

plotted

by

e

TEXT

speci{ication.

e.1.5.

TEXT

TEXT={Iist

of text

nanes}

lists the

variouE

text

nanes. Each nenber

o{ this lrst

has

to

be

defr-

ned

in the edit {ietd in the

forrn

{text

nanp}={text

to

be

plotted},t,y,{size},{x

spacing),.iy EPacing) where

xry år€ the

coordinates

(in piatting units) n{ the first

character

o{ the tprt, 4size} (optional} is the letter sire

(de{eult=l), and .ix spacing),{y

sFacing}

toptional) are

character spacing paraneterg tdefault=8,0).

{text-to-be-plotted}

has

to

be

a Etring without

EPåce5, Since under'-

tlning is

ignored

in plotting"

underline

the

t.lhole

text or

use

'-'in

plece

of a

blank.

?. 1.

?.

H0I1E

Hfll,lE=<,x coord. )

,.-y

coord. )

specifies the location of the

lo1xer

left cotnpl o{ the

gråPh 1alth re5-

pect of the current

home

Position of tfie

pen. Coordinates

are

given rn

p

lotting units.

Default

i.s H0l'lE=100,?0

for bar

diagrans on

the

graphic CRT,

H0l'lE=0,0 in other

cåEes,

(8)

S,l'lustoneni

Statistical

sraphics

in

SURVO ?6

E0ITOR 16.4.$ge

1

(9)

S.|lustonen!

$tatrstrcal

graphics

in

SURUI 76

EDIT0R 16.ä.196e I

e.1.15.

LIi'IITS=11,1?,.,.

L ll'lITti=L 1, L? , . . .

(in

PL0T operation

{or natrix

dragrans TYFE=i'IATRIX) sPecr{ies

the

uFper

linits {or the

classes

s{ the

data va}ues Ea

that the class i consists o{

values

X: L(i-1){Xt=L(i).

tdhen

plotting the ceils

belofiging

to class i t{ilI

be shaded

according

to the ith

shadins speci{red bv SHADING.

3,?.

S-catter diågrans PL0T {data) ,':.inage

linei

ohere

tlre

image

IinB

has

tlre forfi "

XXX YYY SSS

I " Plots a

Ecatter diagran

of a

data

set

de{ined bv

a

0ATA

speci{ication {or the vari-

ables

in the

XXX and YYY columns.

5SS

(optional) is a

nask

for the

narks

of the

sbservations

in

the

gnaph

(like

nane

o{ the

observatian

or

an

indicator variable).

I (optional)'is a

nask

{ot a nissing

value

indicator.

Charactens

'gpåcg','0'

ånd

'-' åle

codes

{or the

misEing values,

Flotiing is controlled

by

the following extra sPeci{ications

typed

in the edit field:

XSCALE, YSCALE, XLABEL, YLABEL, P0INT, LINE; GRID

HEADER, TEXT, HOI'IE, 5IZE, XDIV, YDIU, FEN, FRAI'IE, CONTOUR' TREND.

PL0T {data) , +.x variEb lei

,'lv

variab le}

nakes

å scatter

diagram

o{ a

data

set

de{ined by a SATA

speci{icetion {or the variables {x

vaniable} and

{v variable).

The

ertra Epecification åre the

same

es

those

for the

Previoug

{orn

of PL0T

{or scatter

diagrans.

e.2.1.

XSCALE

X$CALE=r,nin. vålue) ,.'?nd value) , r.3rd value) r . . .

" {.tr1sx. value)

specifieE the

scale on

the

X

axis

and

the scale

labels.

I+

XSCALE

rs not given, scaling

and

labetling rs

automatic' XSCALE=',scale type) , r.nin. veluei , {änd value) , ' . . ,';max. value}

specifies a

nonlinear scale on

the

X

axis

and

the scele

lebels-

{scale type) is

ane

o{ the alternatives

L0G, L0GIT, PR0BIT, S0F, EXP, ARCTAN.

e.e.e.

YSCALE

Y$f,ALE={rnin. valuei ,':.änd value)

" *l3rd velue} , . , . , {.mår, veluei

specrfies the

scale on

the

Y

axis

and

the

Ecale labels.

If

YSCALE

rs not givefi, scaling

and

labellrng is

autonetic.

YSCALE:r:.gcå

le

type),.lmin. va lue), {2nd va luei, . . .,'.nax - va lue)

speci{ies a

nonlinear Ecale on

the

Y

axis

and

the scale

labels.

{scale type) is

one

of the alterneiives

L$G, LIGIT, FRIBIT, fiflR,

EXP, ARCIAN.

2.4.3.

XLABEL

XLABf L =..str rn 9 .-t|| l-thou t.'Epac es)

gj.ves

a title ior the

X

arrs.pefault rs the

name

o{ the

varrable.

iLReEL=- neåns

thåt the label rs onitted.

(10)

S.lluEtonen!

$tatisti.cal

sraphics

in

$URVO ?6

EDiTOR 16,e.1981

g

A;8.4.

YLABEL

y1-gggl

=.: str r n 9_withou t _spac es)

gives

a trtle for the

Y

axrs. Default is the

nane

o{ the

variable.

YLABEL=- neans

that the label is onitted.

2.e,5.

P0iNT P0 IN T=.;c harac t,er )

speci{ies the

Eylnbol

{or the

observation

points in the

diagram.

De{auIt,

is a

small

point.

A nore

flexible

way

o{

narking

is

provided

by

the

5SS nask on

the

inage

line, 8.P.6.

LINE

LINE=*:.line type)

,.lline

thickness) ,

{tine

label}

.

speEifieE

the line

type

especially in plstting tine series but

can

also

be used

in scatter

diagrans

to join

consecut,ive points.

i+

LINE

is

missing,

the points are not joined

t,ogether uhen

plotting a scatter

diagram.

{Iine typei is

an

integer n=0,1,?,..,,1ä indicating the

brskeness n{

the line

(n=0 means

a solid line).

.r.line

thickness) (optronall is

an

integer 1,?,3,...

De{ault=l.

{Iine labeI) (optional) is a string uithout

spåces

to

be plotted as

a lebel at the

end

o{ the

tirne

series.

De{ault=no labet.

4"e.7.

GRIp

GRID=..X,Y

or

XY)

draws

stnaight lineE parallel to the x-axis

(ERID=X)

or the

y-axis

{ERI0:Y)

or both

TGRID=XY) ihrough

the points indicaied

by XSCALE (TSCALE) and YSCALE, respectively.

GRIO=,'.x Etep, ystep)

Horks as

the {inst

GRID,

but

uses

the

steps

dxstep),{ystep)

shen

drawrrg

the grid. I{ a.step

paraneter

is

negative,

orly a snall

tick is

draun instead

o{ a line

segnent.

e.e,8.

coNT0uR

CONT0UR=epsl, eFgä, .

..

BINIJRtl=E {X },E (Y ),S(X ), 5(Y ),Corr (X,Y )

determineE

ihe

contour

ellipses to

be

piotted

on

levels epsl,epse,...

on

the

basis

of the

tuo-dimensional nornal

distribution

de{ined by a BIN0Ri{

Epecr{ication. I{

BINORI'I

is

missing,

the

parameters

åre

estim- ated

fron the ptotted data.

The parameters

epsl,eps?,.., re{er to

the

probåbilities o{

an observation

lyrng inside the ellipse.

Perticularly,

epgl=0 causes

the princlpål

axes

to

be

plotted.

Exanplel C0NT0UR=0,0.5,0.9,0.99 BINOR|i=O,0,1,1,0.70?

(11)

S.l'lustoneni

$tatrstrcal

sraphicE

in

5URU0 76

EDIT0R 16.e.198e

10

e.e.9.

TRENo

TREND=CL,EP',.. (at

nost

5

parameterE)

deternines

lines parallel to a lineer irend ta

be

plott*d' If

the

trend is

Y=aX+b and

the residual

variance

rs sfe,

then

the

lrnes t:61+[+f,s and Y=aX+b-Cs

{or

C=f,I,CP,,.

}rill

be

plotted.

For exanplå,

TREND=O causes

the trend itsel{ ts

be

draln.

The

trend iE

estinrated by

the

(JLS method from

the plotted deta,

However,

i{

a BIN0RI'1

speci{ica-

tion is

given (see

e.e.g), the trend will

be computed åccslding

to

the correEponding binormal

distribution'

3.?;10. 0ther specificetions

HEADER (see

?,1,5i,

TEXT

(sEe

ä,1,6),

l

HOt'lE

(see

2.1.7),

SIZE

(see

?.1.8), XOIU

(see

?.1.9),

Y0Msee ä.1.9), PEN

(see 2.1.1?),

FRAt'lE (see 2.1,13).

?,3.

Time series

PL0T ideta)

,.linage line)

nhere

the

irnage

line

has

the

fonn

" TTT YYY 5SS I

u

plots the trne

senies YYY

fron a

date

set

defined'bv

a

0ATA

speci{i- calion.

The

tine axis s,ill

be

labelled

by

texts

aPPearing

in the

TTT

co lunn.

5$S

toptional) is a

nask

for the

menks

o{ the

observation Points

in the

graph (

like the

namee

sf the

obtErvations

or the

values

o{

an

in- dicator variable).

I (optisnal) is e

mask

{ar a

missing value

indicetor.

Characters

'gpåce','0'

ånd

'-' årå

codes

{or the

misEing vålueg,

Plottins is controlled

by

the

{ollouring

extra sPeci{rratisns

tvped

in thp edit freld:

TSTEF, TSCALE, YSCALE, XLABEL, YLABEL, F0INT, LINE, GRID" HEADER, TEXT, HOI.IE, SIZE, XDIV, YDIV, F'EN, FRAI'IE, TRENO.

2.3.1.

TSTEF

TSTEF =.:.Iabe l

lrng

step) , ,imarking step)

specifies the labels

ånd

the

pornts

to

be narked on

the trne

axis.

{labelling stepi specifres the

gap between

the

TT'I labeIs end

{rnarking

step} (optional) the

stEP

for the

sma}} marks an

ihe

axis.

e.3.e.

TSCALE

TSCALE=.Ilist

of

TTT labels)

speci{ies ihe labels to

be

ptotted

on

the tine axis.

TSCALE can be used

joinily

r,rith TSTEP

for additional

mankings.

(12)

S.1'lustaneni

$tatisti.cal

graphics

in

suRUO ?6

EOITOR 16.e.198e

11

ä,3,ii,

{Jtl-rpr sFecrfrcatinrrs

The f o l lowing specr{tcationE t+lot'k åF those

{or

scåt.ter dragråm$, YSCALT (Eee

e"il,ä),

XLABTL (sep e"ä.i,i

), (de{ault iE

XLAFEL=TIl,1[) YLABTL ( Eee ?.?.4 ) ,

P0INT

(Eee

f;.e,5),

LINt

(Eee

?.?.6i, (de{ault

rE l-INE=0,1,_)

GRID

(see

?.?.?),

TRtl'lD ( see ?.?..9 ) , HEAOER ( see e. 1.5 ) ,

TEXT

( Eee e. 1.6 ) ,

fiil i;;-

ä.1.1 ),

SIZI

iEee

e"1.8i,

XDIU

{see

I.1.9}, YDIU

(see

e.1,9),

FEltl

i see ä, 1. lP i , F

RAI'lt

i see

L

1. 1:i ) .

gfilollit'e

on nornål e FL0T .ldata) ,,:image

line)

uhere

the

image

line

has

the forn "

FFF tiSS

" plots

on nornal probabi-

lity

paper

the

FFF

variable

from

a

data

set

de{rned by

a

DATA

speci{r- cation.

The PFP colunn

nust

be Eorted

in

ascendrng order before

plot- tins.

SSS

(optional) is a

nask

{or the

marks

of the

observations

in

the graph,

- FiEtting

nay be

controlled

by

the

sane

extra speci{ications

as

in plottins scatter

diagrans (see

?.?.)

Note

also the possibility of

using

the probit

trans{ormation by

the speci{ications

XSCALE and YSCALE (see

ä.?.1-2}.

?.5. Plottinq text

In addition to

HEADER and TEXT

specifications

(see

p.1.5-6) text

nay be

plotted {reely

on

the

graphic screen by using

the

PL0T oper-

ation in the {orm

PL0T TEXT,

Activatron af

FL[]T TEXT leads

to tlre displayl

COORDINATES:

X=

O,

Y=

O

PLOTTING TEXT:

SELECT: 0=STARTING

F0INT,

T=ENTER THE TEXT, RETURN(EXEC)=$T0F C;CHARACTER

SIZE,

S=CHARACTER SFACING, F=FEN

0n

the

graphic screen

å

cupsor

is blinking in the low-Ie{t

corner (coordinates l=S,Y=0) and

it

can be moved

in

steps

o{ 5 p}otting

units by

the

arroul-headed F-i<eys

or drrectly to a specific point

by pressing

0

and enterrng

the

new coordinates.

The

text to

be

platted is to

be entered and edrted by

{rrst

pressrng

T then by

typing

and/or

edrtrns the tert

and

finally the tert

rs

plotted

by preEsrns RETURN(EXIC)

Ihe character Erze

(de{ault 1)

and spåcrng (de{.-lult 10"0) nay be

set

by

ll

and

$

respectrvely.

(13)

S.flustonen!

Statistical

qråphics

in

5URV0 7b

EDIT0R 16.e,15äe

All selections

made by

the

user

0rll

be dispiaved on

the

normal screen

as

{ollowsl

COOROINATES:

X=

1OO, Y= 4OO PLOTTING TEXT:

SELECTT S=$TARTING

P0INT,

T=Ei'ITER TllE TEXT, RtTURI'IttXE[ i=$T0P C=CHARACTER

5IlE,

$=Ci{ARACTER SFAIING, F=FEN

TCICIRDINATES OF THE STARTIHG FOINT

(X,f)?

1ÖO,4OO O,Ö tex t

I

TeEl åä-ån å?fiå/.$!t*

[I.IA RAI TE R $ I

ZT I

il$RIlfii'ITAL SF'AC

INt]-l

1*

VIRTIIAL SPAI

ING?

O

PTFN 1

$ince

all the

parameters

[ån

be entered

repeatedly'

several

texts

nay be

plotted

durrng

the

salne

activation o{

FL0T TEXT. 0bserve

that

PEN

?

nay be used

for

erasing

text

previouslv Plotted.

Return back

to editorral

node takes pls'-e bv RETURN(EXE[).

e"9.

Clrve+ ång

As seen

in P.8.8-9

some

curves, like

contour

elliPses

and lines

parallel to e llnear ttend,

nay be

plotted direetly in

connpction

with scatter

diagrams,

To produce ilorE conplicated graphs

o{ analytic

curves,

a

special fonn

of the

PLOT operation

is

available.

The equetion

o{ the

curve can be

uritten

according

to the

uset's

own

notation either in the

{ornr PL0T Y(X)={unctiontX)

or in the

parametric {orm FLoT X (T)={(T),y (T)=g(T)

The

{unctisns

appearing

in tl'e

FL0T operatxon måy

include

symbolic parameters

(pj., rho,

speed) whose values have

to

be gi.ven in

the

form {Farameter}=.lnuneric

valuei

(Pi=:4.1416, rho=0.99, sPeed=?O)

in the edit {ield.

In addition, at nost

two parameters Eån be given as cycling

parameters

in the

form

{paraneter)=({irst value),{last

value),'isteP).

Then

a

one-

or

two-paraneter

fanily o{

curves

will

be

plotted in

the sane coordinate systen.

The

plotting

åreå

is specifred

by

the

XSCALE and YSCALE

specifr*

cations

(see

?.2.1-2),

The

de{ault is

XSCALE=-10,0,10 YSCALT=-10,0,10.

The

plotting

rånge

is

given

in the torn X=';{irst value),':.Iåst

value},

{step). I{..step) is noi given, l/100 o{ the plotting

rånge

is

used

as (step). If the plotting

range

is not given, the total

range given bv XSCALE

will

be used.

In the

second {orm

o{

PL0T above

the

range

rs

given

rn the

form

T=.l{irst

value)

,.-last

value} , r.steP) .

In

both {orns X and T can be replaced by åny

other letter or

ilord.

(14)

S"l{ustonen:

$tatistical

gr,aphics

in

5URV0 76

EDIT0R 16.e.1g8e lg

sone simple curve

plottine

schenesi (The

plsts are in the

appendix,)

FL0T Y tX )=10*Stri{ tX }

HEA0ER=F*trg.lrgnp_ X:l

t-l.."lsr-J:1"d.*it.1

GRID=XY

PL0T

Y(x)=xtn /

n=1,4,1

HEA0ER=[.pnIgul

j.-iltere.Ft

f

oI

F=å,]Fr. ,

-

lVo XLABEL=YearE GRID=XY XSIALE=0, 5, 10, 15,ä0',e5, :i0 YSCALT=0, 10, e0, i:0, 40,50,G0, ?0

F =5, 15,

1

X =0, :;0, 1

FL0T Y (X )=(1 +F' /100)+X

XSCALE=-I0, 0, 10 YSCALE=-IO, 0, 10 XDIV=l, 8,

I

Y0IV=l, 8,

1

SIZE=500, 500 X=-10, tr 0, .

0e5

HEADER=Y=100/ tX-5 ) / {X+5 )

/X

GRI0=XY

FLOT Y (X )=10fi1{X*5i/{X+5}/X

alllrrlrt

HEAOER=Contoqr

ellipses

XSCALE=-IO, 0, 10 YSCALE=-IO, 0, 10 XDIV=l, 8, 1 Y0IU=l, 8,

1

SIZE=500,500 s1=5 s?=3

rho=0.9 t=0,6.?83ä

GRIO=XY

eps=0.5,0.9,0.1

PL0T X ( t,)=sltEqr ( -ä* log ( 1-epE) )*cost t ),

Y ( t ) =sP* sqr ( -2* log ( l-ep s ) )*sin t t+arcsin ( rho ) )

HEADER

XSALE=-3, 0, 3, 6,

I

YSCALE=0,

0.5 5ll[=]99,

400

a=0,6,0.5

b=3

s=l t=0.3 p=0.?

c=0.39894

(=l/sqrtE*pi))

PLOT Y

(l

)-p*s/s*sr p ( -. 5* t tX-a ) /s ) fP ) + ( 1-p )nc./s*exp ( -.5* ( (X-b )/t)+p )

H E A D E R =F''jU a h g 1.,*,t..$ åg+, n,gf ., f L r c-}g p XDIU=l, 8,

j.

YDIU=l,S,

1

SIZE=500,500 T=0r

6.1ffil

R=-lCI, 1ö,

L

ind=0, 1,

I

F'LtlT X {T i=Rrcil${ Ti+indxR, Y { T )=R*SIN t T

}+u-ind

irR

As seen

fron

tFre preceding eranples,

the extra speci{ications

of

scatter

diagrans {see

E.?.1- )

can be used

in

curve

plotting,

too.

Thus

analytic

curves may be

plotted

on ån

eårlier scatter

diagran

or

on

a tisre series plst.

(15)

s.l,tustonen!

statistical

graphics

in

$LRUO ?6

EOITOR 16.P.1å8å

14

In

curve

plottins

sone

addrtional

specr{rcattong can

also

be

enp loyed.

8.6.1. FILL,

YFILL, OFILL, IFILL

r

rLl={.dendityi,r.intial value},t{inal

value}

draws

line

segments

parallel to the

Y

axis

{rsal

points

on

the

cutve

to the

X

axis in

i,he

interval speci{ied

bv

r'initial velue}

and

*ifinal value). $e{ault iS the

whole

Flstting

rånge.

{densitv)

(an integer

1,?,3,..)

giVes

the

9åp between

the line

segments using

the

curve

plottins

steF

as the unit.

YFILL={densrtv),'linitral value),'ifinal

valuei

,";;;;'';;ir-;;;' j;;;;-;;";i

on

*,e

curve

to ihe

Y exis.

0FllL*{density}

,'iintial

value} ,

{.{inal

value}

ir-"i-"it*tnative {orn a{

the FILL

sPecification for'

curves

of

the

{orn

X(T}=f(T),Y(T)=g(T) and

ioins the points

on

the

curve

to

origo

for

valueg

qinitial value) {

T

'i {{inal

value}'

IFlLl={density},.iintiai

value}, {fina1. value)

norlrs as $FILL

bgt ioins the points

an

the

curve

to the intiai

point

of the

curve,

ä.6.E.

ROTATIT]N

R0TATI0N={an9le

in "},{x),';Y;

notates

fhe

graph by {angle

in "}

usrng

the point {x}'{y}

as the centen

of rotation. Default is

R0TATI0I'I=0,0,0.

4.6,3. INTEöRAI

:

INTE0RAL={constant}

{or

curves

o{ the

{orrn

Y(X}*{{X}

rescales

the

{unctiorr. be{ore

plotting

so

that the integral o{ {tx) is

equal

to {constant},

The range

sf in- tegration is the

5åne å5

that {or plotting.

By using INTEGRAL=I, {or exåmpler

density

{unctiohg can be

plotted without giving ihe

cumber-

sone corstants åPPeåring as

coefficients in the

{unction'

e.6.4. Plsttine o{

an

integral

{unction

PL0T INTEGRAL Y(X)=f(X)

plots the integral

functron

o{ {(x).

The range

{or the integraiion

and

plottrng is

given

in the forn

X={lotler

limit),{upper linit}'

{step). If

these

lirnits are not given,

x$cALE deternrnes then and 1/100

of tlre the

rangE

is

used as {step)

Tlre

extra speci{ication

INTEGRAL (Eee

2.6.3)

can

also

be emploved

in

connection

with

FL0T INTEGRAL

thus pernritting plottrng

o{

cunulative densrty

functions o{ probability distributions,

{or

exEnp

le.

Furthernore, by using YSCALE=PRIB1Tr:.. (scale values).

..

the

cunulatrve

functions råy

be

plotted

on nornal

probability

Påper.

(16)

S.l,lusionent

$tatistica:l

sraphics

in

$URW ?6

E0ITttR 16.g.1gge $

REFERENCES

I'lustonen,

S.

(1980),

Inieractive analysis in

SURV0 ?6, Proceedings in Computetional

Statistics,

Ed.by l,l,|1.'Barritt and 0.tdishart, e53-e59, Fhysica-Uerlas, hlien.

l{ustonen,

S.

(1980), SURU0 ?5 EDIT0R,

a

new

toal {or interactive stat- i.stical

courputing,

text

and data nenagenent, Reseårch Report No.

19,

Dept.o{

Statrstics,

Univer'sity

o{

Helsinki,

l'lugtonen,

S.

(1981), SURU0 ?6 EDITBR,

a

nert

tool {or interactive stat-

istical

computrng,

text

and data nanagenent, (RELEA$E

2),

Re-

search Report No.24,

0ept.of Statistics,

Unrversrty o+ Helsinkr, llustonen,

S.

(1981), SURVU T6 tDIT0R, Estrrnation

o{

regression nodels,

Research Report No.ä9, Dept.

of Statistics, University

o{

He

lsrnki

flustonen,

S.

(1981),

Statistical

conputing

nith a text editor,

Conpu-

tational Statlstics,

ed.by Herbert &ining and Feter Nåeve, 3e?-348,

Helter

de

Gruyter, Berlin,

(17)

L

=,3

4 ::'

t=D

7a Lo9

J-r.

.Le .1-3

l-4r-5 i.6i-7 L€la9 eoe1 e&

a3

S.l{ustCInpn;

StatrEtrral gråpiirrs in

SURU0 16 [DIIUR 16. e " 198ä 1"6 NOTE

The PL0T operation has nou, been extended

to

produce

three

dinren-

sional

graphs

of analytic

gur{aces

in central proiection.

The actual

graph

r,rill consist o{ a proiection

on

a

Plane orthogonai

to the iine fron

EYE

to origo.

The sur{ace can be defrned

in the

{orn

PLST

Z(X,Y)*f,unctisntX'Y)

nr

PLOT l( (T, U)={(T, U),Y (T, 1J)=9 (T, U), Z(T' U)=h(T' U).

The space cutves

characterizing the

surface

are

selected by CURUES

speciflcations.

The graPh can be saved

step

bv steP

in

the

edit {ield

by using

a

PL0TLINE

specification

and

it

nåv bp rePlotted by

a

PLOT FILE operation.

In replstting the speci{ication

EDIT mav be used

{or editing sf

lhe graph. The

plot wrll

then åppe€r steP by step and

th€

user nay

edit the plotting

steps

via the

keyboard.

l- suRuo ?F EDIT|fR (C)19?9 sl't{ustoi€n (eloxl.oo)

*$f!6

E1p2

* *

*PLoT z<X.Y)-?rtxP(

*

(-X*X-Y*Y, /? >

:*

*X:-5,5, - P lbY:-5-

=. -?

FLgTL INE =B

*X -C URIIE !i'=-5 , 5 *o - 5

*Y -CURiUIE S=-5, 5, - 5

*xD IV=,O, a, o YD IV,=O, a, O SIZEry$lL, $,LL FRAHI*O

*PLoT FtLE,ExPa.B- / HoHE-,t'4oo

e u,ase,-råg o.-al-e D'-3.-t- u'-4'-? t'-1r-l- u'-g'-? u'-4'-a u'-4'- ru'-3'-eu'_4.-LU.-4'-aU.-a._au'-4.-eU.-3'-?D._4._1D'-4._eD

* D,-4.-e o,-a,-i o'-+'-e D' -4,-e 9.-1 '-1 9'-4'-e D'-"1 '-e D'-q'-? Ö + D,_4._e o._o._ä o.-o.-t- D,-ä.-e D'-4'-a D'-4.-e o,-5i*e o,-4.*e D

* O.-a,-a

*..,

o.-5.:? D'-4'-a D'-5'-e -tc-

* ( P 1ot-i-j"ng *tcP* -f ttr edit'Lng, '

x l.ridd-n l.inaa åra Fanovcd aemiruton-ticållv)

f

(18)

$,l'iustonen

I

Statrstica

I

gråFhicE

in

SURUCI ?6 tD I TfiR 16"1" 19ää 1?

{ll[Illå:

Graphs senerated

trith

SUftU0 76 EDIT0R

lhir

appendir presents

the

usage

o{ the

FLUT operation through examples.

In

eaclr

o{ the {ollowing exhibits the

graph

is

coupled witlr

an

extract fron the

edj"t

{ield

completelv descr'ibing thB FLUT oper- etrorrs

acirvated

arrd

the

neceEsary

attributes.

Thus

a1l

these

plotting

schenes nay be

easrly

r'egenerated by 5URV0 76 EOITOR on an }Jang 2Q00

inEtallation with

thE graphic CRT

ptotter

ä?8P. Furthernore,

the

5URV0

?6 EDITOR DEI'1fiNSTRATI0H

pletter carries

these

plotting

schenes

(edit {rles

FL0T1,

FLOTI,...i alnost

comPletely.

l'lany

of the

exanples

are reiated to staiisticel

graPhics

to

sho$,

how

pictures

can be used as an

efficient t,ooi in

varis'us research and

teaching

srtuatrons. 0{ rourse,

an immense amount

o{

var'iants

rsuld

be derived

{ron

some basic gr'apl's

or

ås cornbinations

sf

standard

alterna- tives.

Therefore

this

aFpendix cannot be complete,

but

includeE only sone

typical statistical plots.

The reader having åccess

ts

SURV0 ?6 EDIT0R can

pasily

generate nor'e exåmpies by

nodifying the existing

ones and save

his solutions for

subseguent

applrcatron. In {act,

the

PLOT operat,rsn has nov, beEn succeg{ully enployed

{ron

February 1981 on

by several SURU0 ?6 users

Hithout wrrtten

docunenl,s on

the

basis"

o{

a

rather restricted

sanple

o{

exanPles.

Also sone

purely nathenaiical

curves and

{anilies of

cutves serve ås

illustration of

hou

to

use $URU0 ?6 EDIT0R

in non-statistical

apPlica-

tions.

The appendix

{inally

contains nore conplicated

'artistic' plots

displaying the

pouer

of the 'graphical

language'.

It is inportant to

note

that

some

of the

dynamic aspects, tlhich ap- pgår on

the

screen and are

nost interestins in

måny cå5e5, cannot be

detected

fren the final

output on PaPer. Nevertheless we hoPe

that

even these ready-made graphs can give an impression

of ihe passibili-

ties

available.

(19)

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Viittaukset

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