vbfelix / relper

R Package: Miscellaneous functions to assist in data cleaning and visualization

I am Vinícius Félix

My name is Vinícius Félix, and I am a seasoned statistician with technical and managerial experience, as well as a solid background in time-series analysis, geostatistics, and data visualization gained while pursuing a Bachelor of Statistics and a Master of Biostatistics.

While co-founder of H0 Consultoria, I’ve contributed to over 350 scientific studies and 40 business surveys, providing valuable insights to organizations. Following my hands-on technical phase, I advanced to management positions such as R&D, Data and Strategy Manager, Services Manager, and now Head of Data.

As I am passionate about bridging theory and real-world applications, my goal is to empower organizations to make data-driven decisions and optimize their operations using statistical insights.

• 📦 My main open source project is the R package: relper
• 💬 Ping me about R, SQL, Statistics and Data Science
• 🔗 If you want to know more about me, there is my website at: https://vbfelix.github.io/

And also take a look at my stats and repositories below ⬇️

relper's Issues

Create vector for arguments that accepts from a limited number of options

submit to ggplot2 extensions

https://exts.ggplot2.tidyverse.org/

Add vignette for calc_modality

Add type argument for calc_kurtosis

Add details for skewness in summary_num

Easy implementation of palettes, by just passing the hex codes instead of building them from the rgb scheme

Add arg kurtosis for summary_num

Add vignette for calc_skewness

Create stat_normality

Create calc_biserial

Add vignette for calc_kurtosis

fix ref for plt_flip_y_title

Solve case of repetitition in row_number_unique

df <- structure(list(ColA = c("A", "A", "B", "B", "C", "C", "A", "A",
"B", "B"), ColB = c(2L, 1L, 3L, 5L, 2L, 5L, 1L, 3L, 7L, 1L),
ColC = c(1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L)),
class = "data.frame", row.names = c(NA, -10L))

library(dplyr)
library(relper)

data %>%
mutate(aux = row_number_unique(ColA))

submit to CRAN

Create calc_perc

Compute percentage, considering multiples variables to count and also a main variable