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HelpersMG (version 6.2)

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

6.2

License

GPL-2

Maintainer

Last Published

August 23rd, 2024

Functions in HelpersMG (6.2)

IC_correlation_simplify

Simplify the correlation matrix

ChangeCoordinate

Return a value in a changed coordinate

Metropolis-Hastings algorithm for LD50

Return the list of results managment of an object.

Clean the dataframe before to be used with IC_threshold_matrix

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

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

IC_threshold_matrix

Calculate correlation matrix

FormatCompareAIC

Format data to be used with compare_AIC()

Return a moving average of a vector.

Generates set of parameters to be used with LD50_MHmcmc()

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

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

ScalePreviousPlot

Return the scale of the previous plot

Add a S3 class to an object.

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

Extract parameters from mcmcComposite object

Distribution of the sum independent negative binomial random variables.

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Distribution of the fitted distribution without cut.

Extract quantile distribution from mcmcComposite object

Write an ASCII Representation of a vector object

RectangleRegression

Return parameters of rectangle regression

Return the flexit

Plot an ellipse

Draw curved lines with arrowhead

Duplicate a results managment within an object.

fitdistrquantiles

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

Return log likelihood of a cutter fitted model

Return the characters defined by the codes

Random numbers for the negative binomial distribution.

duplicated_packages

List the duplicated packages with their locations

Return Log Likelihood of a fit generated by LD50

Compares the AICc of several outputs

Get a value in a results managment to an object

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

Standard error of parameters based on Hessian matrix

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

Return the logit

Random numbers for the negative binomial distribution.

merge.mcmcComposite

Merge two mcmcComposite results

Compares the BIC of several outputs

Data series comparison using Akaike weight

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

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

Estimate indices in periodic timeseries based on anchored minimum and maximum

Download a file from internet and save it locally

Moon phase based on a date

Return an array with ncdf data

Plot a barplot graph with error bar on y

Return the theoretical value for the histogram bar

Display a compass rose

Run a shiny application for basic functions of comparison

contingencyTable.compare

Contingency table comparison using Akaike weight

Convert one Date-Time from one timezone to another

Modifies Elements of a Vector

Random generation for Gaussian distributions different at left and right

plot.PriorsmcmcComposite

Plot a prior defined with setPriors function

Compares the AIC of several outputs

Plot results of cutter that best describe distribution

Density for the Beta distributions.

Generalized gamma distribution.

Run a shiny application to fit bone section

Print results of cutter that best describe distribution

summary.mcmcComposite

Summarize the result of a mcmcComposite object

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

Distribution of the fitted distribution without cut.

Plot a female symbol in the plotting region

Random values of unobserved values of cut distribution.

Quasi Variances for lmer Model Coefficients

Plot a male symbol in the plotting region

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

Search a string within files of a folder

specify_decimal

Return a number as character with specified number of decimals

List the installed packages with their locations

Return the inverse logit

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

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

Add Scale to Existing Unprojected Map

Generate random numbers from the multivariate normal distribution

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

Plot results of LD50() that best describe LD50

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

Estimate survival according to doses

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

Set priors for MHalgoGen()

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

universalmclapply

Run the function FUN on X using parallel computing

Show the name of a point

plot.mcmcComposite

Plot the result of a mcmcComposite object

Add a plot to a previous one

Make a matrix symmetric

Annual tide calendar for one particular location

HelpersMG-package

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Estimate the parameters that best describe LD50

Return AIC, AICc or BIC from a glm object