mur_seasons_arc_pa: Simulated seasonal arc presence absence data for Murphy Cr
In streamDAG: Analytical Methods for Stream DAGs
mur_seasons_arc_pa R Documentation
Simulated seasonal arc presence absence data for Murphy Cr
Description
A data frame with one hundred multivariate Bernoulli simulated outcomes representing spring, summer and fall.
Usage
data("mur_seasons_arc_pa")
Format
A data frame with 300 observations on the following 28 variables.
- ‘IN_N -> M1984’
a numeric vector
- ‘M1984 -> M1909’
a numeric vector
- ‘M1909 -> M1799’
a numeric vector
- ‘IN_S -> M1993’
a numeric vector
- ‘M1993 -> M1951’
a numeric vector
- ‘M1951 -> M1909’
a numeric vector
- ‘M1799 -> M1719’
a numeric vector
- ‘M1719 -> M1653’
a numeric vector
- ‘M1653 -> M1572’
a numeric vector
- ‘M1572 -> M1452’
a numeric vector
- ‘M1452 -> M1377’
a numeric vector
- ‘M1377 -> M1254’
a numeric vector
- ‘M1254 -> M1166’
a numeric vector
- ‘M1166 -> M1121’
a numeric vector
- ‘M1121 -> M1036’
a numeric vector
- ‘M1036 -> M918’
a numeric vector
- ‘M918 -> M823’
a numeric vector
- ‘M823 -> M759’
a numeric vector
- ‘M759 -> M716’
a numeric vector
- ‘M716 -> M624’
a numeric vector
- ‘M624 -> M523’
a numeric vector
- ‘M523 -> M454’
a numeric vector
- ‘M454 -> M380’
a numeric vector
- ‘M380 -> M233’
a numeric vector
- ‘M233 -> M153’
a numeric vector
- ‘M153 -> M91’
a numeric vector
- ‘M91 -> OUT’
a numeric vector
SeasonA categorical variable with three levels: "spring" (6/3/2019 - 7/13/2019), "summer" (7/13/2019 - 8/23/2019) and "fall" (8/23/2019 - 10/2/2019)
streamDAG documentation built on April 4, 2025, 12:28 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| mur_seasons_arc_pa | R Documentation |
Simulated seasonal arc presence absence data for Murphy Cr
Description
A data frame with one hundred multivariate Bernoulli simulated outcomes representing spring, summer and fall.
Usage
data("mur_seasons_arc_pa")Format
A data frame with 300 observations on the following 28 variables.
- ‘IN_N -> M1984’
a numeric vector
- ‘M1984 -> M1909’
a numeric vector
- ‘M1909 -> M1799’
a numeric vector
- ‘IN_S -> M1993’
a numeric vector
- ‘M1993 -> M1951’
a numeric vector
- ‘M1951 -> M1909’
a numeric vector
- ‘M1799 -> M1719’
a numeric vector
- ‘M1719 -> M1653’
a numeric vector
- ‘M1653 -> M1572’
a numeric vector
- ‘M1572 -> M1452’
a numeric vector
- ‘M1452 -> M1377’
a numeric vector
- ‘M1377 -> M1254’
a numeric vector
- ‘M1254 -> M1166’
a numeric vector
- ‘M1166 -> M1121’
a numeric vector
- ‘M1121 -> M1036’
a numeric vector
- ‘M1036 -> M918’
a numeric vector
- ‘M918 -> M823’
a numeric vector
- ‘M823 -> M759’
a numeric vector
- ‘M759 -> M716’
a numeric vector
- ‘M716 -> M624’
a numeric vector
- ‘M624 -> M523’
a numeric vector
- ‘M523 -> M454’
a numeric vector
- ‘M454 -> M380’
a numeric vector
- ‘M380 -> M233’
a numeric vector
- ‘M233 -> M153’
a numeric vector
- ‘M153 -> M91’
a numeric vector
- ‘M91 -> OUT’
a numeric vector
SeasonA categorical variable with three levels:
"spring"(6/3/2019 - 7/13/2019),"summer"(7/13/2019 - 8/23/2019) and"fall"(8/23/2019 - 10/2/2019)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.