1642 ✦ Chapter 23: The SIMILARITY Procedure Output 23.2.8 Path Distance Plot Example 23.2: Similarity Analysis ✦ 1643 Output 23.2.9 Path Distance Histogram 1644 ✦ Chapter 23: The SIMILARITY Procedure Output 23.2.10 Path Relative Distance Plot Example 23.2: Similarity Analysis ✦ 1645 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 Compression None None 2 9 9 Expansion None None 0 7 7 1646 ✦ Chapter 23: The SIMILARITY Procedure 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% Warps 6 50.00% 75.00% 60.00% 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% Warps 20.00% Example 23.2: Similarity Analysis ✦ 1647 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 Cost Mean Mean Path Mean Path Mean Absolute 1.875000 1.500000 1.875000 0.8823529 Relative 0.282305 0.225844 0.282305 0.1328495 Relative Costs based on Target Sequence values 1648 ✦ Chapter 23: The SIMILARITY Procedure Output 23.2.16 Time Warp Plot Example 23.2: Similarity Analysis ✦ 1649 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. 1650 ✦ Chapter 23: The SIMILARITY Procedure 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 Compression 2 None 2 9 2 Expansion 2 None 0 7 2 Example 23.2: Similarity Analysis ✦ 1651 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. . 0.16 092 2 0 0.500000 Cost Statistics Input Target Minimum Maximum Cost Mean Mean Path Mean Path Mean Absolute 1.875000 1.500000 1.875000 0.88235 29 Relative 0.282305 0 .225 844 0.282305 0.1328 495 Relative. Specified Minimum Maximum Limit Absolute Percentage Allowed Allowed Applied Compression None None 2 9 9 Expansion None None 0 7 7 1646 ✦ Chapter 23: The SIMILARITY Procedure Output 23.2.13 Path Statistics Path. Warping Limits Output 23.2. 19 Warped Path Limits Path Limits Specified Specified Minimum Maximum Limit Absolute Percentage Allowed Allowed Applied Compression 2 None 2 9 2 Expansion 2 None 0 7 2 Example