calculateSelfInformation_Histogram: calculate the self information for all values of a discrete...
In terminological/tidy-info-stats: Functions for manipulating information statistics
View source: R/tidyDiscreteSelfInformation.R
calculateSelfInformation_Histogram R Documentation
calculate the self information for all values of a discrete variable in a dplyr friendly way
Description
see: R. de Matos Simoes and F. Emmert-Streib, “Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks,” PLoS One, vol. 6, no. 12, p. e29279, Dec. 2011 [Online]. Available: http://dx.doi.org/10.1371/journal.pone.0029279
Usage
calculateSelfInformation_Histogram(
df,
groupVars,
countVar = NULL,
mm = TRUE,
...
)
Arguments
df
- may be grouped, in which case the grouping is interpreted as different types of discrete variable
groupVars
- the columns of the discrete value quoted by the vars() function (e.g. ggplot facet_wrap)
countVar
- (optional) if this datafram represents summary counts, the columns of the summary variable.
mm
- Apply a miller-madow adjustment to the result? default = TRUE
Value
a dataframe containing the distinct values of the discrete variable, per group, with columns I_x, and method
terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.
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View source: R/tidyDiscreteSelfInformation.R
| calculateSelfInformation_Histogram | R Documentation |
calculate the self information for all values of a discrete variable in a dplyr friendly way
Description
see: R. de Matos Simoes and F. Emmert-Streib, “Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks,” PLoS One, vol. 6, no. 12, p. e29279, Dec. 2011 [Online]. Available: http://dx.doi.org/10.1371/journal.pone.0029279
Usage
calculateSelfInformation_Histogram( df, groupVars, countVar = NULL, mm = TRUE, ... )
Arguments
df |
- may be grouped, in which case the grouping is interpreted as different types of discrete variable |
groupVars |
- the columns of the discrete value quoted by the vars() function (e.g. ggplot facet_wrap) |
countVar |
- (optional) if this datafram represents summary counts, the columns of the summary variable. |
mm |
- Apply a miller-madow adjustment to the result? default = TRUE |
Value
a dataframe containing the distinct values of the discrete variable, per group, with columns I_x, and method
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.
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