The CTVsuggest() function takes a Task View name and argument n,
then outputs a data.frame containing the top n recommendations for the chosen Task View.
Usage
CTVsuggest(
taskview = "Econometrics",
n = 5,
ignore = NULL,
package = NA,
ranktaskview = NA
)Arguments
- taskview
A character vector with one element, must be one of the Task Views available
- n
An integer that decides the number of suggestions to show.
- ignore
A character vector of package names that you want to ignore from output suggestions.
- package
A string, that is a package name that is on CRAN.
- ranktaskview
A character vector with one element, must be one of the Task Views available
Value
A data.frame with suggested packages and there classification probability.
Details
The predicted probabilities are computed from the model object constructed with the CTVsuggestTrain::Train_model() function.
Examples
# Output top 5 suggestions for the Econometrics Task View,
# whilst hiding the GVARX package from suggestions.
CTVsuggest(taskview = "Econometrics", n = 5, ignore = "GVARX")
#> Econometrics Packages
#> JFE 0.9935719 JFE
#> iClick 0.9915758 iClick
#> iForecast 0.9903137 iForecast
#> wildrwolf 0.9903021 wildrwolf
#> ecic 0.9876013 ecic
# Output predicted probabilities for the task view assignment of the doc2vec package
CTVsuggest(package = "doc2vec")
#> ActuarialScience Agriculture Bayesian
#> 0.0000 0.0000 0.0000
#> CausalInference ChemPhys ClinicalTrials
#> 0.0000 0.0000 0.0000
#> Cluster Databases DifferentialEquations
#> 0.0000 0.0000 0.0000
#> Distributions Econometrics Environmetrics
#> 0.0000 0.0000 0.0000
#> Epidemiology ExperimentalDesign ExtremeValue
#> 0.0000 0.0000 0.0000
#> Finance FunctionalData GraphicalModels
#> 0.0000 0.0000 0.0000
#> HighPerformanceComputing Hydrology MachineLearning
#> 0.0000 0.0000 0.0000
#> MedicalImaging MetaAnalysis MissingData
#> 0.0000 0.0000 0.0000
#> MixedModels ModelDeployment NumericalMathematics
#> 0.0000 0.0000 0.0000
#> OfficialStatistics Omics Optimization
#> 0.0000 0.0000 0.0000
#> Pharmacokinetics Phylogenetics Psychometrics
#> 0.0000 0.0000 0.0000
#> Robust Spatial SpatioTemporal
#> 0.0000 0.0000 0.0000
#> SportsAnalytics Survival TeachingStatistics
#> 0.0000 0.0000 0.0000
#> TimeSeries Tracking WebTechnologies
#> 0.0000 0.0000 0.0000
#> ReproducibleResearch none NaturalLanguageProcessing
#> 0.0001 0.0056 0.9940