Web Application for the SSD Module of the MOSAIC Platform

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Documentation for package ‘ssd4mosaic’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_CI_plot	Add confidence interval(s) to an existing fitted distribution ggplot
base_cdf	Graphical representation of fitted distribution(s)
bootdist_fun	Determines the appropriate bootstrap function based on a fit object
cens_lines_plot	Graphical representation of censored data
code_r_ssd	Generate a script according to user in-app inputs
combine_boot_samples	Combine several bootstrap samples into a single 'bootdist' or 'bootdistcens' object
custom_theme	Custom ggplot theme created for MOSAIC bioacc overwriting 'theme_bw'
endosulfan	Summary of 48 to 96-hour acute toxicity values for endosulfan
fluazinam	48-hour acute toxicity values for fluazinam
get_bootstrap	Generate bootstrap sample(s) for a list of fit(s) and check their convergence
get_fits	Fit the specified distributions to the given data
get_HCx_table	Get HCx values from fit or bootstrap
get_parameters_html	Get fit(s) parameters in HTML format for shiny outputs
get_xlab	Create a label for x axis based on concentration unit and log scale
group_cdf_censored	Graphical representation of grouped toxicity censored data
group_cdf_uncensored	Graphical representation of grouped toxicity uncensored data
my_CIcdfplot	Create a pretty confidence interval ggplot
name_plot_censored	Graphical representation of named toxicity censored data
name_plot_uncensored	Graphical representation of named toxicity uncensored data
options_plot	Graphical representation of toxicity data with additional elements
order_cens_data	Take a data.frame of censored toxicity data and order them like 'fitdistrplus' plots
run_app	Run the Shiny Application
salinity_family	72-hour acute salinity tolerance of macro-invertebrates grouped by family.
salinity_order	72-hour acute salinity tolerance of macro-invertebrates grouped by order.
switchInput	Custom toggle switch input for shiny UI
test_conv	Test the approximate equality of the quantiles from several bootstrap samples