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library(AmesHousing) | |
library(tidymodels) | |
ames <- make_ames() | |
ml_wflow <- | |
ames %>% | |
workflow() %>% | |
initial_split(prop = .75) %>% | |
recipe(Sale_Price ~ Longitude + Latitude + Neighborhood, data = ames) %>% |
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library(AmesHousing) | |
library(tidymodels) | |
ames <- | |
make_ames() %>% | |
# Remove quality-related predictors | |
select(-matches("Qu")) | |
############################# Data Splitting ################################## |
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# Make sure to install both | |
# devtools::install_github("timriffe/DDSQLtools") | |
library(DDSQLtools) | |
# install.packages("tictoc") | |
library(tictoc) | |
############################# issue 1 ######################################### | |
############################################################################### |
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library(tidyverse) | |
set.seed(23131) | |
original_matrix <- replicate(10, sample(1:10, 10, replace = TRUE)) | |
my_params <- tibble(x = sample(1:10, 5, replace = TRUE), | |
y = sample(2:3, 5, replace = TRUE)) | |
# Define the matrix that will be updated in each iteration | |
my_matrix <- original_matrix |
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# This script loops over all `test_that` expressions in testthat files and adds | |
# a `skip_on_cran()` to any `test_that` expressions that **doesn't** have a a | |
# `skip_on_cran()`. | |
library(glue) | |
all_files <- list.files(here::here("tests/testthat/"), | |
full.names = TRUE, | |
pattern = "test-[0-9]") |
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# Slides: https://github.com/ITSLeeds/TDS/blob/master/slides/madrid-slides.Rmd | |
# Exercises http://git.io/tds2dayex | |
library(sf) | |
library(dplyr) | |
library(stplanr) # geographic transport data package | |
library(tmap) | |
library(osmdata) | |
library(tidyverse) | |
library(stats19) |
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# This scrapes the language/country website from Wikipedia and tries to pick | |
# the most spoken language from each country to generate a final data frame | |
# with a country - language. Since some countries have several official | |
# languages, I assume THE FIRST is the most spoken. This brings some error | |
# like Brazil has German as first. However, almost 90% of the work is done. Some small | |
# tweaks are needed. | |
library(rvest) | |
library(xml2) | |
library(ISOcodes) |
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--- | |
title: Download (all) data from datos.gob.es | |
author: Jorge Cimentada | |
date: '2019-01-19' | |
slug: download-all-data-from-datos-gob-es | |
categories: [] | |
tags: [] | |
comments: no | |
showcomments: yes | |
showpagemeta: yes |
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# Redo of this post https://www.brodrigues.co/blog/2018-11-25-tidy_cv/ | |
library("tidyverse") | |
library("tidymodels") | |
library("brotools") | |
library("mlbench") | |
set.seed(231451) | |
data("BostonHousing2") |
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wd=$(ls | grep cimentadaj.github.io) | |
NOCOLOR="\033[1;0m" | |
function error { | |
RED="\033[1;31m" | |
echo -e "${RED}$1${NOCOLOR}" | |
} | |
function message { | |
BLUE="\033[1;34m" |