ValueDimensions

ValueDimensions

is an option to TemporalData, TimeSeries, and EventSeries that specifies the dimension of the value space.

Details

  • Possible settings include:
  • Automaticautomatically find dimensions
    1scalar values
    nvector values of length n
    {n1,n2,…}array values of dimension {n1,n2,…}
  • The ni must be positive integers.

Examples

open allclose all

Basic Examples  (1)

Create a collection of four scalar-valued paths:

Interpret the same data as a single path of dimension 3:

Possible Issues  (1)

Multidimensional data may be confused with time-value pairs:

Specify ValueDimensions to treat the data as vector valued:

Wolfram Research (2014), ValueDimensions, Wolfram Language function, https://reference.wolfram.com/language/ref/ValueDimensions.html.

Text

Wolfram Research (2014), ValueDimensions, Wolfram Language function, https://reference.wolfram.com/language/ref/ValueDimensions.html.

CMS

Wolfram Language. 2014. "ValueDimensions." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ValueDimensions.html.

APA

Wolfram Language. (2014). ValueDimensions. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ValueDimensions.html

BibTeX

@misc{reference.wolfram_2023_valuedimensions, author="Wolfram Research", title="{ValueDimensions}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/ValueDimensions.html}", note=[Accessed: 19-April-2024 ]}

BibLaTeX

@online{reference.wolfram_2023_valuedimensions, organization={Wolfram Research}, title={ValueDimensions}, year={2014}, url={https://reference.wolfram.com/language/ref/ValueDimensions.html}, note=[Accessed: 19-April-2024 ]}