Learn R Programming

⚠️There's a newer version (5.3.1) of this package.Take me there.

library(lares)

This is my personal library used to automate and speed my everyday work on Analysis and Machine Learning tasks. You are most welcome to install, use, and comment on any of its code and functionalities. Feel free to contact me and/or add me on Linkedin!

Getting Started

Fresh library install

devtools::install_github("laresbernardo/lares")

Update library

lares::updateLares() # From Github repository (Bitbucket discontinued)
lares::updateLares(local=T) # Personal and local files, not necessarily deployed

Everytime you update the library, I recommend restarting your session: close RStudio and reopen it. You can also set the restart = TRUE parameter on the updateLares() function.

Some posts published using the library

DataScience+: Visualizations for Classification Models Results
DataScience+: Visualizations for Regression Models Results
DataScience+: AutoML and DALEX for Dataset Understanding
DataScience+: Portfolio's Performance and Report

Copy Link

Version

Install

install.packages('lares')

Monthly Downloads

5,440

Version

4.1

License

Private

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/laresbernardo/lares

Maintainer

Bernardo Lares

Last Published

July 4th, 2025

Functions in lares (4.1)

auto_preprocess

Auto-Preprocessing data for a Machine Learning Model

Machine Learning Forecast

Facial Recognition: Face Counter

Facial Recognition: Get REsults

gg_text_customs

Custom colours to use in ggplot as scale_color_manual on texts

Automated H2O's AutoML

dalex_residuals

DALEX Residuals

Find country from a given IP

MPLOTS Score Full Report Plots

mplot_importance

Variables Importances Plot

Frequencies Calculations and Plot

one_hot_encoding_commas

One Hot Encoding for a Vector with Comma Separated Values

Get Colombia's Stratum given the Coordinates

Get Personal Portfolio's Data

get_stocks_hist

Download Stocks Historical Data

Loggarithmic Loss Function for Binary Models

Correlation between variable and dataframe

dalex_explainer

DALEX Explainer

DALEX Partial Dependency Plots (PDP)

Mean Absolute Error (MAE)

Linear Regression Results Plot

Plot Target's Distribution vs Another Variable

AUC and LogLoss Plots

portfolio_performance

Portfolio Overall Performance

Transform any date input into Date

PostgreSQL Queries on Redshift Database (read-write)

stocks_daily_plot

Stocks Daily Plot

Facial Recognition: Live Cam

Facial Recognition: Plot Face

Replace Values With

gg_colour_customs

Custom colours to use in ggplot as scale_color_manual

gg_fill_customs

Custom colours to use in ggplot as scale_fill_manual

stocks_hist_fix

Fix Historical Data on Stocks

typeform_download

Download typeform data

Root Mean Squared Error (RMSE)

PostgreSQL Queries on Production Database (read-write)

Google Sheets Reading

Update the library

stocks_total_plot

Stocks Total Performance Plot

Study the distribution of a target variable vs another variable. This function is quite similar to the funModeling's corrplot function.

Get API (JSON) and Transform into data.frame

Reduce categorical values

Facial Recognition: Send Image

Facial Recognition: Take a Selfie

categoryCounter

Count Categories on a Dataframe

Get Google's Geodata given the Addresses

Export h2o_automl's Results

get_credentials

Load personal parameters and credentials

Calculate missingness percentage on a data.frame

Cuts by quantiles for score plot

Hubspot contacts (Somos F1)

h2o_selectmodel

Select Model from h2o_automl's Leaderboard

Hubspot Contacts

Send Emails with Attachments (Sendgrid)

Mean Absolute Percentage Error (MAPE)

Split and compare quantiles plot

Full NAs Analysis on a data.frame

Normalize values

mplot_cuts_error

Cuts by quantiles on absolut and percentual errors plot

Density plot for discrete and continuous values

Filter only Numerical Values and

object_detection

Image's Objects Detection using YOLO

PostgreSQL Queries on Dummy Database (read only)

Portfolio's Full Report in HTML

Queries on Google Analytics

Portfolio's Calculations and Plots

Correlation table

Remove/Drop Columns in which ALL or SOME values are NAs

Correlation plot

Distance from specific point to line

Remove/Drop Rows in which ALL or SOME values are NAs

Convert a vector into a comma separated text

Calculate Errors

Nicely Format Numerical Values

Facial Recognition: Compare faces

Google Sheets Writing

Iterate and Search for Best Seed

List files in a directory

Mean Squared Error (MSE)

Split a dataframe for training and testing sets

portfolio_daily_plot

Portfolio Daily Plot

portfolio_distr_plot

Portfolio's Distribution

stocks_performance

Stocks Overall Performance

Portfolio's Full Report and Email

Convert year month format YYYY-MM

Convert year week format YYYY-WW

Balance Binary Data by Resampling: Under-Over Sampling