OTHER CONTRIBUTIONS: RANDOM DISTRIBUTION

This example shows the statistical distribution of the random number generator.

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SOURCE CODE ()

	CLS

	CONST range = SCREEN COLUMNS
	CONST height = SCREEN ROWS - 2
	CONST maxSteps = 512

	DIM value AS INTEGER
	DIM steps AS INTEGER
	DIM count AS INTEGER
		
	DIM v(range) AS INTEGER
	
	DO
		value = RND(range)
		HOME: PRINT "step: ";steps;" value: ";value
		INC v(value)
		INC steps
		EXIT IF steps > maxSteps
	LOOP
	
	CLS
	
	FOR i = 0 TO ( range - 1 )
		count = ( ( maxSteps - v(i) ) * height ) / maxSteps
		FOR j = count TO height
			LOCATE i, j: PRINT "*";
		NEXT j
	NEXT i

How to compile and run the example

The instructions here refer to compiling the example from the command line. For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile each single example with just one click.



Are instructions for your specific home computer / console missing? First of all, check if your computer is supported by clicking here. If so, since ugBASIC is a language which does not provide abstractions, it is possible that this example will not work on your target. If you think this is an issue, please click here.

Amstrad CPC 464, Amstrad CPC 6128, Amstrad CPC 664

In order to compile the example, type this command on the command line:

Linux

ugbc.cpc -O dsk -o contrib_random_distribution.dsk contrib_random_distribution.bas

Windows

ugbc.cpc.exe -O dsk -o contrib_random_distribution.dsk contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Atari 1200XL, Atari 130XE, Atari 600XL, Atari 65XE, Atari 800XE, Atari 800XL, Atari XEGS

In order to compile the example, type this command on the command line:

Linux

ugbc.atarixl -O xex -o contrib_random_distribution.xex contrib_random_distribution.bas

Windows

ugbc.atarixl.exe -O xex -o contrib_random_distribution.xex contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Atari 400, Atari 800

In order to compile the example, type this command on the command line:

Linux

ugbc.atari -O xex -o contrib_random_distribution.xex contrib_random_distribution.bas

Windows

ugbc.atari.exe -O xex -o contrib_random_distribution.xex contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Commodore 128 (CPU 8502)

In order to compile the example, type this command on the command line:

Linux

ugbc.c128 -O prg -o contrib_random_distribution.prg contrib_random_distribution.bas

Windows

ugbc.c128.exe -O prg -o contrib_random_distribution.prg contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Commodore 64, Commodore Executive 64

In order to compile the example, type this command on the command line:

Linux

ugbc.c64 -O prg -o contrib_random_distribution.prg contrib_random_distribution.bas

Windows

ugbc.c64.exe -O prg -o contrib_random_distribution.prg contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Dragon 32

In order to compile the example, type this command on the command line:

Linux

ugbc.d32 -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

Windows

ugbc.d32.exe -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Dragon 64

In order to compile the example, type this command on the command line:

Linux

ugbc.d64 -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

Windows

ugbc.d64.exe -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Olivetti Prodest PC128, Thomson MO6

In order to compile the example, type this command on the command line:

Linux

ugbc.pc128op -O k7 -o contrib_random_distribution.k7 contrib_random_distribution.bas

Windows

ugbc.pc128op.exe -O k7 -o contrib_random_distribution.k7 contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

TRS-80 Color Computer, TRS-80 Color Computer 2

In order to compile the example, type this command on the command line:

Linux

ugbc.coco -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

Windows

ugbc.coco.exe -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

TRS-80 Color Computer 3

In order to compile the example, type this command on the command line:

Linux

ugbc.coco3 -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

Windows

ugbc.coco3.exe -O bin -o contrib_random_distribution.bin contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

ZX Spectrum +2, ZX Spectrum 128K, ZX Spectrum 48K

In order to compile the example, type this command on the command line:

Linux

ugbc.zx -O tap -o contrib_random_distribution.tap contrib_random_distribution.bas

Windows

ugbc.zx.exe -O tap -o contrib_random_distribution.tap contrib_random_distribution.bas

For Microsoft Windows users we suggest using UGBASIC-IDE, which allows you to download and compile this example with just one click.

Any problem?

If you have found a problem trying to run this example, if you think there is a bug or, more simply, you would like it to be improved, open an issue for this example on GitHub.
Thank you!

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