Colors
Basic colors may be specified as names or numbers. Allowed names are listed below and, if a number is specified, it is reduced into range [0,MAX_COL-1] by taking the remainder of integer division by MAX_COL. random provides a randomly selected basic color.
| Names of the colors: | |
| red, green, blue, yellow, magenta, orange, cyan, brown, black, white | |
| random | |
In addition, some operations might use gray levels or colors of the warm color scale, which are coded as data field values between 0 and 255. The choice between the gray and color scales can be chosen in those commands with -rgb switch. To use the gray levels or warm scale colors for neurons, bars, data points, groups, etc. the following notations can be used:
| gray_<n> | Selects the <n>th color of the gray |
scale  (black ... white) | |
| rgb_<n> | Selects the <n>th color of the warm |
| scale (blue ... red) | |
| gray_random | Selects a random color of the gray scale |
| rgb_random | Selects a random color of the warm color scale |
Example: For instance, color can be specified to the following commands.
... NDA> bar grp1 -f crim -co red NDA> bar grp1 -f zn -co rgb_220 NDA> gcolor grp1 -cl g1 -co red
Scaling
| The scaling functions: | |
| data | find the range of a data vector |
| abs | absolute values given as parameters |
| vec | select corresponding minimum and maximum components from the vectors given as parameters |
| som | find minimum and maximum values inside the SOM (TS-SOM layer) |
| som2 | like som, but empty neurons are skipped |
The scaling plays a key role when values from data frames are converted into features of graphical objects. Five functions for scaling values are listed above. The first three functions can be used with any type of graphic structure, som and som2 only work with the SOM-oriented graphic structure.
Example (ex7.27): The following commands demonstrate briefly the use of scaling.
... NDA> mkgrp grp1 -s s1 NDA> setgdat grp1 -d stadata # Default scaling is typically "data" NDA> bar grp1 -f stadata.crim_avg -co red # Use the range of the field inside the current layer of TS-SOM NDA> bar grp1 -f stadata.crim_avg -co red -sca som # Similar to the previous command, but skip empty neurons NDA> bar grp1 -f stadata.crim_avg -co red -sca som2 ...