SAS/ETS 9.22 User''''s Guide 166 ppt

Output 23.2.9 Path Distance Histogram... Output 23.2.10 Path Relative Distance Plot... Output 23.2.11 Path Relative Distance HistogramOutput 23.2.12 Path Limits Path Limits Specified Spe

Output 23.2.8 Path Distance Plot

Output 23.2.9 Path Distance Histogram

Output 23.2.10 Path Relative Distance Plot

Output 23.2.11 Path Relative Distance Histogram

Output 23.2.12 Path Limits

Path Limits

Specified Specified Minimum Maximum Limit Absolute Percentage Allowed Allowed Applied

Output 23.2.13 Path Statistics

Path Statistics

Path Input Path Input Target Maximum Maximum Path Number Percent Percent Percent Maximum Percent Percent

Missing Map 0 0.000% 0.000% 0.000% 0 0.000% 0.000% Direct Maps 6 50.00% 75.00% 60.00% 2 16.67% 25.00% Compression 4 33.33% 50.00% 40.00% 1 8.333% 12.50% Expansion 2 16.67% 25.00% 20.00% 2 16.67% 25.00%

Path Statistics

Target Maximum Path Percent

Missing Map 0.000%

Direct Maps 20.00%

Compression 10.00%

Expansion 20.00%

Output 23.2.14 Cost Plot

Output 23.2.15 Cost Statistics

Cost Statistics

Standard Cost Number Total Average Deviation Minimum Maximum

Absolute 12 15.00000 1.250000 1.138180 0 3.000000 Relative 12 2.25844 0.188203 0.160922 0 0.500000

Cost Statistics

Input Target Minimum Maximum

Absolute 1.875000 1.500000 1.875000 0.8823529 Relative 0.282305 0.225844 0.282305 0.1328495

Output 23.2.16 Time Warp Plot

Output 23.2.17 Time Warp Scaled Plot

The following statements repeat the preceding similarity analysis on the example data set with warping limits:

ods graphics on;

proc similarity data=test out=_null_

print=all plot=all;

input x;

target y / measure=absdev

compress=(localabs=2)

expand=(localabs=2);

run;

The COMPRESS=(LOCALABS=2) option limits local absolute compression to 2 The EX-PAND=(LOCALABS=2) option limits local absolute expansion to 2.

Output 23.2.18 Path Plot with Warping Limits

Output 23.2.19 Warped Path Limits

Path Limits

Specified Specified Minimum Maximum Limit Absolute Percentage Allowed Allowed Applied

Output 23.2.20 Cost Plot with Warping Limits

The following statements repeat the preceding similarity analysis on the example data set but store the results in output data sets:

proc similarity data=test out=series

outsequence=sequences outpath=path outsum=summary;

input x;

target y / measure=absdev

compress=(localabs=2)

expand=(localabs=2);

run;

The OUT=SERIES, OUTSEQUENCE=SEQUENCES, OUTPATH=PATH, and OUT-SUM=SUMMARY options specify that the output time series, time sequences, path analysis, and summary data sets be created, respectively.