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HelpersMG (version 6.4)

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Description

Contains miscellaneous functions useful for managing 'NetCDF' files (see ), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.

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Version

Install

install.packages('HelpersMG')

Monthly Downloads

1,412

Version

6.4

License

GPL-2

Maintainer

Marc Girondot

Last Published

January 28th, 2025

Functions in HelpersMG (6.4)

Return a moving average of a vector.

FormatCompareAIC

Format data to be used with compare_AIC()

Return the list of results managment of an object.

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

HelpersMG-package

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

IC_threshold_matrix

Calculate correlation matrix

Duplicate a results managment within an object.

Delete a results managment or a result within a results managment from an object

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Create a results managment or add a value in a results managment to an object

Get a value in a results managment to an object

Add a S3 class to an object.

RectangleRegression

Return parameters of rectangle regression

ScalePreviousPlot

Return the scale of the previous plot

Standard error of parameters based on Hessian matrix

Extract parameters from mcmcComposite object

Distribution of the sum independent negative binomial random variables.

Return the codes (in UTF-8) of a string

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

Extract quantile distribution from mcmcComposite object

Plot a barplot graph with error bar on y

Draw curved lines with arrowhead

Run a shiny application for basic functions of comparison

Distribution of the fitted distribution without cut.

Write an ASCII Representation of a vector object

Compares the AICc of several outputs

Compares the BIC of several outputs

Return the characters defined by the codes

Compares the AIC of several outputs

Random numbers for the negative binomial distribution.

fitdistrquantiles

Parameters of beta, normal or gamma distribution based on quantiles.

contingencyTable.compare

Contingency table comparison using Akaike weight

Plot an ellipse

Convert one Date-Time from one timezone to another

Run a shiny application to fit bone section

Return an array with ncdf data

Generalized gamma distribution.

Density for the Beta distributions.

Return the flexit

Distribution of the fitted distribution without cut.

duplicated_packages

List the duplicated packages with their locations

Return log likelihood of a cutter fitted model

Return or the index in ncdf object from lat/longitude or inverse

Return Log Likelihood of a fit generated by LD50

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

Estimate indices in periodic timeseries based on anchored minimum and maximum

Return the logit

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

Display a compass rose

Moon phase based on a date

merge.mcmcComposite

Merge two mcmcComposite results

Add Scale to Existing Unprojected Map

List the installed packages with their locations

Return path of file searched for in local disk based on its file name

Search a string within files of a folder

Return the theoretical value for the histogram bar

Return the inverse logit

Open a finder window with current working directory in MacOS X and windows

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

Plot results of LD50() that best describe LD50

Modifies Elements of a Vector

Print results of cutter that best describe distribution

Quasi Variances for lmer Model Coefficients

Plot a xy graph with error bar on x and/or y

Random values of unobserved values of cut distribution.

Random generation for Gaussian distributions different at left and right

Add a plot to a previous one

Plot results of cutter that best describe distribution

plot.mcmcComposite

Plot the result of a mcmcComposite object

plot.PriorsmcmcComposite

Plot a prior defined with setPriors function

Estimate survival according to doses

Set priors for MHalgoGen()

Show the name of a point

specify_decimal

Return a number as character with specified number of decimals

Estimate the time of sunrise and sunset according to longitude, latitude and date

summary.mcmcComposite

Summarize the result of a mcmcComposite object

Read files present in a folder and creates a list with the content of these files

Random numbers for the negative binomial distribution.

Generate random numbers from the multivariate normal distribution

Data series comparison using Akaike weight

Test if two vectors contains the same elements independently of their order

Make a matrix symmetric

Read an ASCII text representation of a named or not vector object

Annual tide calendar for one particular location

Plot a female symbol in the plotting region

universalmclapply

Run the function FUN on X using parallel computing

Plot a male symbol in the plotting region

Download a file from internet and save it locally

Estimate the parameters that best describe LD50

Return an index of quantitative asymmetry and complexity named Developmental Instability Index (DIx)

Clean the dataframe before to be used with IC_threshold_matrix

IC_correlation_simplify

Simplify the correlation matrix

Return AIC, AICc or BIC from a glm object

Metropolis-Hastings algorithm for LD50

ChangeCoordinate

Return a value in a changed coordinate

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

Generates set of parameters to be used with LD50_MHmcmc()