Daniel Anderson datalorax
datalorax
/ equatiomatic-shiny.R
Last active
August 5, 2021 16:22
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| library(shiny) | |
| library(shinyWidgets) | |
| library(ggplot2) | |
| library(equatiomatic) | |
| library(gtsummary) | |
| library(gt) | |
| ui <- fluidPage( | |
| titlePanel("equatiomatic w/Shiny"), | |
| sidebarLayout( |
datalorax
/ cost-surface-rayshader
Created
May 22, 2020 21:55
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| library(colorspace) | |
| library(rayshader) | |
| library(tidyverse) | |
| mse <- function(x, y, a, b) { | |
| pred <- a + b*x | |
| resid2 <- (y - pred)^2 | |
| 1/length(y)*sum(resid2) | |
| } |
datalorax
/ example-list-fun-col.R
Last active
August 20, 2020 19:44
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| library(tidyverse) | |
| by_species <- iris %>% | |
| group_by(Species) %>% | |
| nest() | |
| specific_models <- tibble( | |
| Species = unique(iris$Species), | |
| model = list(function(d) lm(Sepal.Length ~ Petal.Width + Petal.Length, d), | |
| function(d) lm(Sepal.Length ~ Petal.Width, d), |
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| library(RSelenium) | |
| library(rvest) | |
| library(tidyverse) | |
| theme_set(theme_minimal(15) + | |
| theme(plot.title.position = "plot", | |
| plot.caption = element_text(color = "gray40", size = 8))) | |
| url <- "https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html" | |
| rd <- rsDriver(browser = "chrome", chromever = "81.0.4044.69") |
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| equation_lm <- function(model) { | |
| rhs <- colnames(model.matrix(model))[-1] | |
| lhs <- all.vars(formula(model))[1] | |
| lhs_eq <- paste(lhs, "= ") | |
| betas <- paste0("\\beta_{", seq_along(rhs), "}(") | |
| rhs_eq <- paste0(betas, rhs, ")") | |
| rhs_eq <- paste("\\alpha +", paste(rhs_eq, collapse = " + ")) | |
| error <- "+ \\epsilon" |
datalorax
/ animate-mcelreath-fig-6.3.R
Created
November 26, 2018 21:40
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| # Code from Richard McElreath's book, chapter 6 | |
| sppnames <- c( "afarensis","africanus","habilis","boisei", | |
| "rudolfensis","ergaster","sapiens") | |
| brainvolcc <- c( 438 , 452 , 612, 521, 752, 871, 1350 ) | |
| masskg <- c( 37.0 , 35.5 , 34.5 , 41.5 , 55.5 , 61.0 , 53.5 ) | |
| d <- data.frame( species=sppnames , brain=brainvolcc , mass=masskg ) | |
| ## R code 6.2 | |
| m6.1 <- lm( brain ~ mass , data=d ) |