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HelpersMG (version 5.1)

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

1,216

Version

5.1

License

GPL-2

Maintainer

Last Published

February 17th, 2022

Functions in HelpersMG (5.1)

Metropolis-Hastings algorithm for LD50

Estimate the parameters that best describe LD50

ChangeCoordinate

Return a value in a changed coordinate

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

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

Return a moving average of a vector.

RectangleRegression

Return parameters of rectangle regression

HelpersMG-package

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Generates set of parameters to be used with LD50_MHmcmc()

Draw curved lines with arrowhead

Distribution of the fitted distribution without cut.

Standard error of parameters based on Hessian matrix

contingencyTable.compare

Contingency table comparison using Akaike weight

Return the characters defined by the codes

IC_correlation_simplify

Simplify the correlation matrix

Clean the dataframe before to be used with IC_threshold_matrix

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

Extract parameters from mcmcComposite object

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

IC_threshold_matrix

Calculate correlation matrix

Write an ASCII Representation of a vector object

Extract quantile distribution from mcmcComposite object

Convert one Date-Time from one timezone to another

fitdistrquantiles

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

Plot an ellipse

Plot results of LD50() that best describe LD50

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

Estimate indices in periodic timeseries based on anchored minimum and maximum

Return AIC, AICc or BIC from a glm object

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

Return the theoretical value for the histogram bar

Return Log Likelihood of a fit generated by LD50

Modifies Elements of a Vector

merge.mcmcComposite

Merge two mcmcComposite results

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

Moon phase based on a date

Plot results of cutter that best describe distribution

Data series comparison using Akaike weight

Display a compass rose

Random values of unobserved values of cut distribution.

Random generation for the sum of random variable with negative binomial distributions.

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

Print results of cutter that best describe distribution

Quantile function for the sum of random variable with negative binomial distributions.

specify_decimal

Return a number as character with specified number of decimals

Make a matrix symmetric

ScalePreviousPlot

Return the scale of the previous plot

Show the name of a point

Download a file from internet and save it locally

Annual tide calendar for one particular location

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

universalmclapply

Run the function FUN on X using parallel computing

FormatCompareAIC

Format data to be used with compare_AIC()

Duplicate a results managment within an object.

Get a value in a results managment to an object

Return the list of results managment of an object.

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

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

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

Run a shiny application for basic functions of comparison

Density for the sum of random variable with negative binomial distributions.

Plot a barplot graph with error bar on y

Distribution of the fitted distribution without cut.

Compares the AIC of several outputs

Search a string within files of a folder

duplicated_packages

List the duplicated packages with their locations

Compares the AICc of several outputs

Compares the BIC of several outputs

Density for the Beta distributions.

Add a plot to a previous one

Open a finder window with current working directory in MacOS X

Return the inverse logit

plot.mcmcComposite

Plot the result of a mcmcComposite object

Add Scale to Existing Unprojected Map

Generalized gamma distribution.

Return the flexit

summary.mcmcComposite

Summarize the result of a mcmcComposite object

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

Return an array with ncdf data

Return the logit

Return log likelihood of a cutter fitted model

Distribution function for the sum of random variable with negative binomial distributions.

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

Quasi Variances for lmer Model Coefficients

Run a shiny application to fit bone section

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

Random generation for Gaussian distributions different at left and right

Random numbers for the negative binomial distribution.

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

List the installed packages with their locations

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

Estimate survival according to doses

Plot a female symbol in the plotting region

Plot a male symbol in the plotting region