alekrutkowski

`%not in%` <- Negate(`%in%`)

`%without%` <- setdiff

`%++%` <- paste0

`%is%` <- inherits

`%equals%` <- identical

alekrutkowski

webR.download.file <- function(url, destfile)
  download.file(paste0("https://corsproxy.io/?",URLencode(url)),
                destfile)

# See https://github.com/r-wasm/webr/issues/252#issuecomment-1690142510

alekrutkowski

namedList <- function(...) {
    # Capture the variable names as symbols
    # and convert symbols to character names
    var_names <- as.character(as.list(substitute(list(...)))[-1])
    # Create a named list
    stats::setNames(mget(var_names, envir = parent.frame()), var_names)
}

### Usage example

alekrutkowski

library(magrittr)
library(data.table)

setnamesWithArrows <- function(dt, ...) {
  pairs <-  
    substitute(list(...)) %>% 
    as.list %>% 
    tail(-1) %>% 
    lapply(. %>% as.list %>% tail(-1) %>% rev) 
  from <-

alekrutkowski

renameColumns <- function(dt, ...) {
  pairs <-  
    substitute(list(...)) %>% 
    as.list %>% 
    tail(-1) %>% 
    lapply(. %>% as.list %>% tail(-1) %>% rev) 
  from <-
    pairs %>% 
    sapply(. %>% .[[1]] %>% as.character)
  to <-

alekrutkowski

# Code generated with eurodata_codegen on 2024-09-18 16:26:27 (UTC+2:00, Central European Summer Time)
library(magrittr)
library(data.table)
library(eurodata)
library(openxlsx2)

dt__lfsi_emp_a <-
  ## Link to filtered raw data (TSV):
  # https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/LFSI_EMP_A/.EMP_LFS.T.Y20-64.PC_POP.EU27_2020?format=TSV 
  ## Meaning of the codes in `filters` below:

alekrutkowski

let                                                                                                                                                                                                  
    Source = Csv.Document(Web.Contents("https://ec.europa.eu/eurostat/api/dissemination/sdmx/3.0/data/dataflow/ESTAT" &
                                       "/nama_10_gdp/1.0/*?" & // ← modify dataset
                                       // ↓ modify dimensions and their values
                                       "c[unit]=CP_MEUR&c[na_item]=B1GQ,P3&c[geo]=EU27_2020,EA20" &
                                       "&compress=false&format=csvdata&formatVersion=2.0&" &
                                       "c[TIME_PERIOD]=ge:2021+le:2023"), // ← modify time span
                          [Delimiter=",",
                           Encoding=65001, QuoteStyle=QuoteStyle.None]),
    PromotedHeaders = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),

alekrutkowski

use extendr_api::prelude::*;

#[extendr]
fn transpose_char_matrix(matrix: RMatrix<Rstr>) -> Robj {
    // Take the input dimensions
    let dims = matrix.dim();

    // Get the number of rows and columns
    let nrows = dims[0] as usize;
    let ncols = dims[1] as usize;

alekrutkowski

use extendr_api::prelude::*;
use rand::{distributions::Alphanumeric, Rng};
use std::collections::HashMap;

// Define the function to be used in R
#[extendr]
fn add_columns(df: Dataframe<Robj>) -> List {
    // Get the number of rows in the data frame
    let n_rows = df.get_attrib("row.names").unwrap().len();

alekrutkowski

use extendr_api::prelude::*;
use polars::prelude::*;

// Helper function to convert an R data.frame to a Polars DataFrame
fn r_to_polars_dataframe(r_df: List) -> Result<DataFrame> {
    let mut columns = Vec::new();

    for (name, col) in r_df.iter() {
        let col_name: PlSmallStr = name.into(); // Convert column name to PlSmallStr