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2016 ; 5
(1
): 108-118
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English Wikipedia
Interactive graphics for functional data analyses
#MMPMID27182437
Wrobel J
; Park SY
; Staicu AM
; Goldsmith J
Stat (Int Stat Inst)
2016[]; 5
(1
): 108-118
PMID27182437
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Although there are established graphics that accompany the most common functional
data analyses, generating these graphics for each dataset and analysis can be
cumbersome and time consuming. Often, the barriers to visualization inhibit
useful exploratory data analyses and prevent the development of intuition for a
method and its application to a particular dataset. The refund.shiny package was
developed to address these issues for several of the most common functional data
analyses. After conducting an analysis, the plot shiny() function is used to
generate an interactive visualization environment that contains several distinct
graphics, many of which are updated in response to user input. These
visualizations reduce the burden of exploratory analyses and can serve as a
useful tool for the communication of results to non-statisticians.
free
free
free
