[This is my OpenPGP fingerprint: openpgp4fpr:18c66c11c2904d52c061c903400c472b1687e621]
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Adam H. Sparks adamhsparks
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| ------------------------------------- | |
| Translated Report (Full Report Below) | |
| ------------------------------------- | |
| Process: rkward [45470] | |
| Path: /Applications/rkward.app/Contents/MacOS/rkward | |
| Identifier: org.kde.RKWard | |
| Version: 0.8.1 (0.8.1) | |
| Code Type: ARM-64 (Native) | |
| Parent Process: launchd [1] |
adamhsparks
/ nvim-r.txt
Created
March 4, 2025 05:55
— forked from navicore/nvim-r.txt
R cheatsheet and nvim-r commands
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| Menu entry Default shortcut~ | |
| Start/Close | |
| . Start R (default) \rf | |
| . Start R (custom) \rc | |
| -------------------------------------------------------- | |
| . Close R (no save) \rq | |
| . Stop (interrupt) R :RStop | |
| ----------------------------------------------------------- |
adamhsparks
/ dpird_cvt_sf.R
Last active
April 17, 2024 06:00
Get DPIRD CVT Zones as an {sf} Object in Your R Session
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| # get DPIRD CVT zones from the Public Services Slip WA as an {sf} object in R | |
| # data are CC 4.0 and available from: <https://data.wa.gov.au/slip> | |
| wfs_wa <- | |
| "https://public-services.slip.wa.gov.au/public/services/SLIP_Public_Services/Boundaries_WFS/MapServer/WFSServer" | |
| url <- httr2::url_parse(wfs_wa) | |
| url$query <- list(service = "wfs", | |
| #version = "2.0.0", # facultative | |
| request = "GetCapabilities") |
adamhsparks
/ historical_weather.py
Created
March 27, 2024 06:47
Fetch historical weather data with Python using various packages
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| # Fetch historical weather data with Python using various packages | |
| # use plotnine for graphing | |
| from plotnine import * | |
| import pandas as pd | |
| import pathlib | |
| # pynasapower | |
| # Fetches NASA POWER data |
adamhsparks
/ df_to_power.R
Last active
March 14, 2024 06:01
Use a data frame of lonlat and date values to get data from POWER API using {nasapower}
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| library("nasapower") | |
| library("purrr") | |
| library("dplyr") | |
| df <- data.frame( | |
| stringsAsFactors = FALSE, | |
| lon = c(151.81, 112.5, 115.5), | |
| lat = c(-27.48, -55.5, -50.5), | |
| date = c("3/3/2023", "5/12/2023", "1/3/2024") | |
| ) |
adamhsparks
/ gist:5c82d48c31b5c22d0974fbeafb2f9ad1
Created
February 19, 2024 06:42
Owner avatar OceanOmics-classifier-comparison trial run.R
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| - Project '~/tmp/OceanOmics-classifier-comparison' loaded. [renv 1.0.3] | |
| > targets::tar_make() | |
| > dispatched target all_results_files | |
| o completed target all_results_files [0 seconds] | |
| > dispatched branch all_results_ecfccd47 | |
| o completed branch all_results_ecfccd47 [0 seconds] | |
| > dispatched branch all_results_eccc5a34 | |
| o completed branch all_results_eccc5a34 [0 seconds] | |
| > dispatched branch all_results_05574669 | |
| o completed branch all_results_05574669 [0 seconds] |
adamhsparks
/ wa_web_feature_services.R
Last active
November 13, 2023 11:50
Use Western Australia's Web Feature Services in R
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| # Get all DPIRD boundary data sets available from the Public Services Slip WA and save data for use in an R package. | |
| # HT to Thierry Onkelinx, Hans Van Calster, Floris Vanderhaeghe for their post, | |
| # <https://inbo.github.io/tutorials/tutorials/spatial_wfs_services/>, but I | |
| # modified this to work to save .Rds files for use in an R package, not just | |
| # saving to disk and chose to use {httr2} in place of {httr}. | |
| # NOTE: This URL is only for public boundaries, | |
| <https://public-services.slip.wa.gov.au/public/services/SLIP_Public_Services/Boundaries_WFS/MapServer/WFSServer>, | |
| there are others, see <https://catalogue.data.wa.gov.au/dataset> for other orgs and types of data |
adamhsparks
/ quietly_wOz_stations.R
Last active
October 17, 2023 02:46
Given a list of named places, get a list of weather stations in R from {weatherOz} or capture the message if no stations were found
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| # Find stations in both the DPIRD and SILO weather station networks given a | |
| # vector of locations or capture messages when no stations are found | |
| library("tidygeocoder") | |
| library("data.table") | |
| library("weatherOz") | |
| library("purrr") | |
| # Step 1: Create a vector of named locations to geocode |
adamhsparks
/ StatQuantileBin.R
Created
April 16, 2023 11:39
— forked from eliocamp/StatQuantileBin.R
Percentogram (histogram with bins of equal number of observations)
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| StatQuantileBin <- ggplot2::ggproto("StatQuantileBin", ggplot2::StatBin, | |
| default_aes = ggplot2::aes(x = ggplot2::after_stat(density), y = ggplot2::after_stat(density), weight = 1), | |
| compute_group = function(data, scales, | |
| binwidth = NULL, bins = 30, breaks = NULL, trim = 0, | |
| closed = c("right", "left"), pad = FALSE, | |
| flipped_aes = FALSE, | |
| # The following arguments are not used, but must | |
| # be listed so parameters are computed correctly | |
| origin = NULL, right = NULL, drop = NULL, |
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