Type: Package
Title: Access Drug Regulatory Data via FDA and Health Canada APIs
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access drug regulatory data from public RESTful APIs including the 'FDA Open API' and the 'Health Canada Drug Product Database API', retrieving real-time or historical information on drug approvals, adverse events, recalls, and product details. Additionally, the package includes a curated collection of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies. These datasets cover diverse topics such as treatment dosages, pharmacological studies, placebo effects, drug reactions, misuses of pain relievers, and vaccine effectiveness. The package supports reproducible research and teaching in pharmacology, medicine, and healthcare by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'FDA API' https://open.fda.gov/apis/ and 'Health Canada API' https://health-products.canada.ca/api/documentation/dpd-documentation-en.html.
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/medxr, https://lightbluetitan.github.io/medxr/
BugReports: https://github.com/lightbluetitan/medxr/issues
Encoding: UTF-8
LazyData: true
Depends: R (≥ 4.1.0)
Imports: utils, httr, jsonlite, dplyr, memoise
Suggests: ggplot2, testthat (≥ 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.2
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-11 23:23:55 UTC; Renzo
Author: Renzo Caceres Rossi ORCID iD [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-16 18:30:13 UTC

MedxR: Access Drug Regulatory Data via FDA and Health Canada APIs

Description

This package provides functions to access drug regulatory data from public RESTful APIs including the FDA Open API and the Health Canada Drug Product Database API, retrieving real-time or historical information on drug approvals, adverse events, recalls, and product details. Additionally, the package includes a curated collection of open datasets focused on drugs, pharmaceuticals, treatments, and clinical studies.

Details

MedxR: Access Drug Regulatory Data via FDA and Health Canada APIs

logo

Access Drug Regulatory Data via FDA and Health Canada APIs.

Author(s)

Maintainer: Renzo Caceres Rossi arenzocaceresrossi@gmail.com

See Also

Useful links:

Drug Related ATC Codes

Description

This dataset, ATC_code_tbl_df, is a tibble containing ATC (Anatomical Therapeutic Chemical) classification codes assigned to drugs by the World Health Organization. The classification system categorizes drugs into different levels of anatomical and chemical structure.

Usage

data(ATC_code_tbl_df)

Format

A tibble with 50 observations and 10 variables:

atc_code

Character variable representing the ATC code assigned to the drug

level_1

Character variable indicating the anatomical main group

code_1

Character variable indicating the code of level 1

level_2

Character variable indicating the therapeutic subgroup

code_2

Character variable indicating the code of level 2

level_3

Character variable indicating the pharmacological subgroup

code_3

Character variable indicating the code of level 3

level_4

Character variable indicating the chemical subgroup

code_4

Character variable indicating the code of level 4

drugbank-id

Character variable with the corresponding DrugBank identifier

Details

The dataset name has been kept as 'ATC_code_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.

Source

Data taken from the package covid19dbcand version 0.1.1

BCG Vaccine Effectiveness Studies

Description

This dataset, BCG_vaccine_df, is a data frame containing results from 13 studies evaluating the effectiveness of the Bacillus Calmette-Guerin (BCG) vaccine against tuberculosis. The dataset includes trial metadata and outcome counts for treatment and control groups.

Usage

data(BCG_vaccine_df)

Format

A data frame with 13 observations and 9 variables:

trial

Integer variable identifying each trial

author

Character variable with the name of the study author

year

Integer variable indicating the publication year of the study

tpos

Integer variable indicating the number of TB-positive cases in the treatment group

tneg

Integer variable indicating the number of TB-negative cases in the treatment group

cpos

Integer variable indicating the number of TB-positive cases in the control group

cneg

Integer variable indicating the number of TB-negative cases in the control group

ablat

Integer variable indicating the absolute latitude of the study location

alloc

Character variable indicating the allocation type

Details

The dataset name has been kept as 'BCG_vaccine_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the package metadat version 1.4-0

Aspirin after Myocardial Infarction

Description

This dataset, aspirin_infarction_df, is a data frame containing results from a meta-analysis on the use of aspirin to prevent death after myocardial infarction. It includes binary outcome data comparing aspirin and placebo groups.

Usage

data(aspirin_infarction_df)

Format

A data frame with 7 observations and 6 variables:

study

Character variable identifying each study

year

Integer variable indicating the publication year

d.asp

Integer variable for the number of deaths in the aspirin group

n.asp

Integer variable for the total number of patients in the aspirin group

d.plac

Integer variable for the number of deaths in the placebo group

n.plac

Integer variable for the total number of patients in the placebo group

Details

The dataset name has been kept as 'aspirin_infarction_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the package meta version 8.2-1

Antibiotic Binding in Cows

Description

This dataset, binding_df, is a data frame containing the binding rate of antibiotics to serum protein in cows. The study measured the extent to which antibiotics bind to protein in the bloodstream, which can reduce the medical effectiveness of the drug. Twelve cows were given one of three antibiotics: chloramphenicol, erythromycin, or tetracycline.

Usage

data(binding_df)

Format

A data frame with 12 observations and 2 variables:

antibiotic

Factor variable indicating the type of antibiotic administered

binding

Numeric variable representing the measured binding rate to serum protein

Details

The dataset name has been kept as 'binding_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the isdals package version 3.0.1

The Effects of Caffeine

Description

This dataset, caffeine_matrix, is a matrix containing data from Henson et al. [1996] investigating caffeine's effect on short-term visual memory. High school students (9 eighth-graders, 10 tenth-graders, 9 twelfth-graders) were tested twice: once after drinking caffeinated Coke and once after decaffeinated Coke. Students had 10 seconds to memorize 20 common objects, then 1 minute to recall them. The study examined whether students remembered more objects with decaffeinated versus caffeinated Coke.

Usage

data(caffeine_matrix)

Format

A numeric matrix with 28 rows and 3 columns:

Grade

Numeric values indicating the grade level of the student (8, 10, or 12)

Without

Number of objects remembered after drinking decaffeinated Coke

With

Number of objects remembered after drinking caffeinated Coke

Details

The dataset name has been kept as 'caffeine_matrix' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'matrix' indicates that the dataset is stored as a matrix object. The original content has not been modified in any way.

Source

Data taken from the msos package version 1.2.0

Pharmacologic Treatments for COPD

Description

This dataset, copd_drug_therapy_df, is a data frame containing results from 39 trials examining pharmacologic treatments for chronic obstructive pulmonary disease (COPD). It includes study identifiers, treatment groups, number of exacerbations, and sample sizes.

Usage

data(copd_drug_therapy_df)

Format

A data frame with 94 observations and 6 variables:

study

Character variable identifying each study

year

Integer variable indicating the publication year

id

Integer variable representing the study ID

treatment

Character variable describing the treatment group

exac

Integer variable indicating the number of COPD exacerbations

total

Integer variable for the total number of patients in the group

Details

The dataset name has been kept as 'copd_drug_therapy_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the package metadat version 1.4-0

Treatment Dosages Defined by EUCAST

Description

This dataset, dosage_tbl_df, is a tibble containing treatment dosage information for antimicrobial agents as defined by EUCAST. The dosages are used to support interpretive breakpoints in antimicrobial susceptibility testing.

Usage

data(dosage_tbl_df)

Format

A tibble with 759 observations and 9 variables:

ab

Antimicrobial ID

name

Name of the antimicrobial agent

type

Type of dosage scheme

dose

Dose amount

dose_times

Number of doses per day

administration

Route of administration

notes

Additional clinical notes

original_txt

Original EUCAST dosage description

eucast_version

EUCAST guideline version number

Details

The dataset name has been kept as 'dosage_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.

Source

Data taken from the AMR package version 3.0.0

Unit Drug Prices

Description

This dataset, drug_prices_tbl_df, is a tibble containing information on unit prices for various pharmaceutical products. Each record includes a description, currency, cost per unit, unit type, and a parent key identifier.

Usage

data(drug_prices_tbl_df)

Format

A tibble with 208 observations and 5 variables:

description

Character variable describing the drug or product

currency

Character variable indicating the currency in which the price is expressed

cost

Numeric variable indicating the unit cost of the drug

unit

Character variable representing the measurement unit (e.g., tablet, mL)

parent_key

Character variable serving as a linking identifier to related records

Details

The dataset name has been kept as 'drug_prices_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble data frame. The original content has not been modified in any way.

Source

Data taken from the covid19dbcand package version 0.1.1

Pain Relievers Misuse in the US

Description

This dataset, drugsmisuse_tbl_df, is a tibble containing information about the use of pain relievers for non-medical purposes in the United States. It includes individual-level data for 100 cases, detailing misuse patterns across various opioid-based medications.

Usage

data(drugsmisuse_tbl_df)

Format

A tibble with 100 observations and 8 variables:

caseid

Character variable representing the unique case identifier

hydrocd

Integer variable indicating hydrocodone misuse (1 = Yes, 0 = No)

oxycodp

Integer variable indicating oxycodone misuse (1 = Yes, 0 = No)

codeine

Integer variable indicating codeine misuse (1 = Yes, 0 = No)

tramadl

Integer variable indicating tramadol misuse (1 = Yes, 0 = No)

morphin

Integer variable indicating morphine misuse (1 = Yes, 0 = No)

methdon

Integer variable indicating methadone misuse (1 = Yes, 0 = No)

vicolor

Integer variable indicating Vicodin or similar misuse (1 = Yes, 0 = No)

Details

The dataset name has been kept as 'drugsmisuse_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.

Source

Data taken from the package lay version 0.1.3

Search Adverse Events by Drug Name in FDA Adverse Event Reporting System

Description

Retrieves adverse event reports from the FDA Adverse Event Reporting System (FAERS) that match a specific drug name using the RESTful API endpoint /drug/event.json?search=<drug_name>.

This includes details such as the safety report ID, receive date, serious status, patient information, drug details, and adverse reactions for each reported adverse event related to pharmaceutical products.

Usage

get_fda_adverse_events(drug_name)

Arguments

drug_name

A character string representing the name of the drug.

Details

This function sends a GET request to the FDA openFDA API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

FDA Adverse Event Reporting System (FAERS) via openFDA: https://open.fda.gov/apis/drug/event/

See Also

GET, fromJSON, as_tibble

Examples


  # Esta función requiere conexión a internet y descarga datos de la FDA
  get_fda_adverse_events("aspirin")

Search Drug Labels by Drug Name in FDA Drug Labeling Database

Description

Retrieves drug label information from the FDA Drug Labeling Database that match a specific drug name using the RESTful API endpoint /drug/label.json?search=<drug_name>.

This includes details such as the product ID, brand name, generic name, indications and usage, dosage and administration, warnings, drug interactions, and other prescribing information from FDA-approved drug labels.

Usage

get_fda_drug_labels(drug_name)

Arguments

drug_name

A character string representing the name of the drug.

Details

This function sends a GET request to the FDA openFDA API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

FDA Drug Labeling Database via openFDA: https://open.fda.gov/apis/drug/label/

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from FDA
  get_fda_drug_labels("aspirin")

Search FDA-Approved Drugs by Drug Name

Description

Retrieves information about FDA-approved drug products from the official Drugs at FDA database that match a specific drug name using the RESTful API endpoint /drug/drugsfda.json?search=<drug_name>.

This includes details such as the application number, sponsor name, approval dates, product information, application type (NDA, ANDA, BLA), and submission details for brand name drugs, generic drugs, and therapeutic biological products approved by the FDA since 1939.

Usage

get_fda_drugs_approved(drug_name)

Arguments

drug_name

A character string representing the name of the drug (brand name or generic name).

Details

This function sends a GET request to the FDA openFDA API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

The Drugs at FDA database contains information about drug products approved since 1939. The majority of labels, approval letters, and reviews are available for products approved since 1998. This database includes brand name drugs, generic drugs, and therapeutic biological products.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

FDA Drugs at FDA Database via openFDA: https://open.fda.gov/apis/drug/drugsfda/

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from FDA
  get_fda_drugs_approved("aspirin")
  get_fda_drugs_approved("lipitor")

Search National Drug Code (NDC) Directory by Drug Name

Description

Retrieves National Drug Code (NDC) information from the FDA NDC Directory that match a specific drug name using the RESTful API endpoint /drug/ndc.json?search=<drug_name>.

This includes details such as the NDC product code, brand name, generic name, labeler information, product type, dosage form, route of administration, marketing status, and active ingredients for pharmaceutical products marketed in the United States.

Usage

get_fda_ndc_directory(drug_name)

Arguments

drug_name

A character string representing the name of the drug (brand name or generic name).

Details

This function sends a GET request to the FDA openFDA API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

The NDC Directory contains information on final marketed drugs submitted to FDA in SPL (Structured Product Labeling) electronic listing files. Assignment of an NDC number does not denote FDA approval of the product.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection. The NDC Directory is updated daily by FDA.

Source

FDA National Drug Code Directory via openFDA: https://open.fda.gov/apis/drug/ndc/

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from FDA
  get_fda_ndc_directory("aspirin")
  get_fda_ndc_directory("ibuprofen")

Get Active Ingredients from Health Canada Drug Product Database

Description

Retrieves detailed information on all active ingredients listed in the Health Canada Drug Product Database (DPD) through the RESTful API endpoint /drug/activeingredient.

Each record corresponds to a specific active ingredient within a registered drug product, including concentration, unit, and dosage details (if available).

Usage

get_hc_active_ingredients()

Details

The function sends a GET request to the Health Canada DPD API. It uses memoisation via the memoise package to cache results and includes a rate limit delay between API requests.

Missing values are retained as empty strings (""), preserving the original schema of the API.

Value

A tibble with the following columns:

Note

Requires an active internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_active_ingredients()

Get Companies from Health Canada Drug Product Database

Description

Retrieves information on all pharmaceutical companies listed in the Health Canada Drug Product Database (DPD) using the RESTful API endpoint /drug/company.

This includes details such as the company code, company name, address, city, province, postal code, and country. Each record corresponds to a company associated with one or more approved or discontinued drug products.

Usage

get_hc_companies()

Details

This function sends a GET request to the Health Canada Drug Product Database API. It supports caching via the memoise package to avoid redundant calls, and includes a small rate limit delay between successive API requests.

The columns post_office_box and suite_number are automatically removed as they generally contain incomplete or irrelevant information.

If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an active internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_companies()

Get All DINs from Health Canada Drug Product Database

Description

Retrieves all Drug Identification Numbers (DINs) from the Health Canada Drug Product Database (DPD) using the RESTful API endpoint /drug/drugproduct.

Only the DIN column is returned, renamed as din for convenience.

Usage

get_hc_din()

Details

This function sends a GET request to the Health Canada Drug Product Database API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with a single column:

Note

Requires an internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble, rename

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_din()

Get a Drug Product by DIN from Health Canada Drug Product Database

Description

Retrieves detailed information for a specific drug product listed in the Health Canada Drug Product Database (DPD) using the RESTful API endpoint /drug/drugproduct?din=<DIN>.

This includes details such as the Drug Identification Number (DIN), product name, class, number of active ingredients, company name, and update date.

Usage

get_hc_drug_by_din(din)

Arguments

din

A character or numeric string representing the Drug Identification Number (DIN) of the product to retrieve.

Details

Sends a GET request to the Health Canada Drug Product Database API. Supports caching via the memoise package and enforces a rate limit between successive API requests.

If the DIN does not exist or the API returns an error, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_drug_by_din("02456789")

Retrieve Drug Products from Health Canada Drug Product Database

Description

Retrieves information on all drug products listed in the Health Canada Drug Product Database (DPD) using the RESTful API endpoint /drug/drugproduct.

Optionally, a partial product name can be provided to filter the results to products that contain the search term in their brand name.

Usage

get_hc_drug_products(name = NULL)

Arguments

name

Optional. A character string representing a partial or complete name of the drug product to filter results. If omitted, returns all available products.

Details

This function sends a GET request to the Health Canada Drug Product Database API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada

  # Retrieve all products
  get_hc_drug_products()

  # Retrieve products matching a partial name
  get_hc_drug_products("acetaminophen")

Get Pharmaceutical Forms from Health Canada Drug Product Database

Description

Retrieves information on all pharmaceutical dosage forms listed in the Health Canada Drug Product Database (DPD) using the RESTful API endpoint /drug/form.

This includes details such as the drug code, form code, and the pharmaceutical form name (e.g., tablet, capsule, solution).

Usage

get_hc_forms()

Details

This function sends a GET request to the Health Canada Drug Product Database API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_forms()

Search Drug Products by Brand Name in Health Canada Drug Product Database

Description

Retrieves drug products from the Health Canada Drug Product Database (DPD) that match a specific brand (commercial) name using the RESTful API endpoint /drug/drugproduct?search=<brand_name>.

This includes details such as the Drug Identification Number (DIN), product name, class, number of active ingredients, company name, and update date for each approved or discontinued pharmaceutical product.

Usage

get_hc_search_drug(brand_name)

Arguments

brand_name

A character string representing the commercial name of the drug.

Details

This function sends a GET request to the Health Canada Drug Product Database API. It supports caching via the memoise package to avoid redundant calls, and respects a rate limit between successive API requests.

If the API request fails, returns no matches, or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires an internet connection.

Source

Health Canada Drug Product Database (DPD) API: https://health-products.canada.ca/api/documentation/dpd-documentation-en.html

See Also

GET, fromJSON, as_tibble

Examples


  # This function requires an internet connection and downloads data from Health Canada
  get_hc_search_drug("NEMBUTAL")

Histamine in Dogs

Description

This dataset, histamine_matrix, is a matrix containing data on blood histamine levels in dogs after drug treatment. Sixteen dogs were used to assess morphine and trimethaphan effects on blood histamine concentration. Dogs were divided into four groups: two received morphine, two received trimethaphan (both intravenous). In each drug pair, one group had histamine depleted prior to treatment, the other retained normal levels. Values of "0.10" indicate originally missing data, arbitrarily imputed with that value.

Usage

data(histamine_matrix)

Format

A numeric matrix with 16 rows and 4 columns:

Before

Blood histamine levels measured before drug administration

After1

Histamine levels measured after 1 minute

After3

Histamine levels measured after 3 minutes

After5

Histamine levels measured after 5 minutes

Details

The dataset name has been kept as 'histamine_matrix' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'matrix' indicates that the dataset is stored as a matrix object. The original content has not been modified in any way.

Source

Data taken from the msos package version 1.2.0

Digestibility of Straw Treated with NaOH

Description

This dataset, naoh_digest_df, is a data frame containing digestibility coefficients for six horses that were fed straw. Each horse was tested under two conditions: once after being fed ordinary straw and once after being fed straw treated with sodium hydroxide (NaOH).

Usage

data(naoh_digest_df)

Format

A data frame with 6 observations and 3 variables:

horse

Integer identifier for each horse

ordinary

Numeric variable representing digestibility after consuming ordinary straw

naoh

Numeric variable representing digestibility after consuming NaOH-treated straw

Details

The dataset name has been kept as 'naoh_digest_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the isdals package version 3.0.1

Utilization of Vitamin A in Rats

Description

This dataset, oilvitaminA_df, is a data frame containing vitamin A concentrations in the livers of rats after being fed vitamin A dissolved in different types of oil. Twenty rats were divided into two groups: one received vitamin A in corn oil and the other in castor oil (American oil). After three days of feeding, vitamin A concentration in the liver was measured on the fourth day.

Usage

data(oilvitaminA_df)

Format

A data frame with 20 observations and 2 variables:

type

Factor variable indicating the oil type used to deliver vitamin A (corn or castor oil)

avit

Integer variable representing the measured vitamin A concentration in the liver

Details

The dataset name has been kept as 'oilvitaminA_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the isdals package version 3.0.1

Oral Anticoagulants in Coronary Artery Disease

Description

This dataset, oral_anticoagulants_df, is a data frame containing results from 34 studies evaluating the effectiveness of oral anticoagulants in patients with coronary artery disease. The dataset includes study metadata and outcome counts for treatment and control groups, as well as intensity classifications.

Usage

data(oral_anticoagulants_df)

Format

A data frame with 34 observations and 9 variables:

study

Character variable identifying each study

year

Integer variable indicating the publication year

intensity

Character variable describing treatment intensity

asp.t

Integer variable indicating the number of aspirin users in the treatment group

asp.c

Integer variable indicating the number of aspirin users in the control group

ai

Integer variable indicating the number of adverse events in the treatment group

n1i

Integer variable for the sample size of the treatment group

ci

Integer variable indicating the number of adverse events in the control group

n2i

Integer variable for the sample size of the control group

Details

The dataset name has been kept as 'oral_anticoagulants_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the package metadat version 1.4-0

Dopamine Agonists in Parkinson's Disease

Description

This dataset, parkinsons_list, is a list containing information from 7 studies investigating the effect of dopamine agonists as adjunct therapy in patients with Parkinson's disease. The dataset includes placebo and four active drugs coded from 2 to 5, measuring outcomes such as lost work-time reduction.

Usage

data(parkinsons_list)

Format

A list with 5 elements:

Outcomes

Numeric vector representing the reduction in lost work-time for each treatment arm

SE

Numeric vector indicating the standard error of each observation

Treat

Character vector identifying the treatment type (placebo or drug)

Study

Numeric vector indicating the study each observation belongs to

Treat.order

Character vector listing the treatment names in the order of coding

Details

The dataset name has been kept as 'parkinsons_list' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'list' indicates that the dataset is a list. The original content has not been modified in any way.

Source

Data taken from the package bnma version 1.6.1

Pharmacy Client Attendance

Description

This dataset, pharmacy_tbl_df, is a tibble containing hourly client attendance data in a pharmacy located in Geneva, Switzerland. The dataset spans two years, recording the number of clients per hour alongside the date and weekday.

Usage

data(pharmacy_tbl_df)

Format

A tibble with 17,520 observations and 4 variables:

date

Date variable indicating the calendar date

hours

Character variable representing the hour of observation

weekday

Character variable representing the day of the week

attendance

Numeric variable indicating the number of clients observed

Details

The dataset name has been kept as 'pharmacy_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.

Source

Data taken from the package idarps version 0.0.5

Placebos and Pain Relief

Description

This dataset, placebos_df, is a data frame containing pain relief data from both analgesics and placebos. It presents observations over time comparing the effects of different treatments including placebo, aspirin (Asp), and codis (a combination analgesic), along with calculated placebo reduction.

Usage

data(placebos_df)

Format

A data frame with 7 observations and 6 variables:

Time

Integer variable indicating the time point of observation

Placebo

Numeric variable indicating the measured effect of the placebo

Distr

Numeric variable indicating the measured effect of a distractor treatment

Asp

Numeric variable indicating the measured effect of aspirin

Codis

Numeric variable indicating the measured effect of codis

PlaceboRed

Numeric variable indicating the reduction attributed to the placebo

Details

The dataset name has been kept as 'placebos_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the package SRMData version 1.0.2

Drug Product Records

Description

This dataset, products_drug_tbl_df, is a tibble containing detailed information on 3,764 commercially available pharmaceutical products in Canada and the United States. Each record includes identifiers such as NDC and DPD codes, marketing start and end dates, strength, dosage form, administration route, approval status, and source agency.

Usage

data(products_drug_tbl_df)

Format

A tibble with 3,764 observations and 19 variables:

name

Character variable with the commercial name of the drug product

labeller

Character variable indicating the name of the pharmaceutical company

ndc-id

Character variable with the U.S. National Drug Code (NDC) identifier

ndc-product-code

Character variable for the product-level NDC code

dpd-id

Character variable for the Canadian Drug Product Database (DPD) ID

ema-product-code

Character variable for the European Medicines Agency product code

ema-ma-number

Character variable with the EMA marketing authorization number

started-marketing-on

Character variable indicating marketing start date

ended-marketing-on

Character variable indicating marketing end date

dosage-form

Character variable representing the drug's dosage form

strength

Character variable with the dosage strength

route

Character variable describing the route of administration

fda-application-number

Character variable for the FDA application number

generic

Character variable indicating if the product is a generic formulation

over-the-counter

Character variable indicating OTC availability

approved

Character variable specifying whether the product is approved

country

Character variable indicating the country of approval (Canada/US)

source

Character variable with the originating regulatory body

parent_key

Character variable linking to related records

Details

The dataset name has been kept as 'products_drug_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble data frame. The original content has not been modified in any way.

Source

Data taken from the covid19dbcand package version 0.1.1

Drug Concentration in Rat Livers

Description

This dataset, ratliver_df, is a data frame containing results from an experiment investigating drug absorption in the livers of rats. Nineteen rats were weighed, given an oral dose of approximately 40 mg of drug per kilogram of body weight, and sacrificed after a fixed period. Liver weight and the percentage of the administered dose found in the liver were recorded.

Usage

data(ratliver_df)

Format

A data frame with 19 observations and 4 variables:

BodyWt

Integer variable indicating body weight of the rat (in grams)

LiverWt

Numeric variable representing the weight of the liver (in grams)

Dose

Numeric variable representing the total dose administered (in mg)

DoseInLiver

Numeric variable representing the percentage of the dose found in the liver

Details

The dataset name has been kept as 'ratliver_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the isdals package version 3.0.1

Drug Reactions

Description

This dataset, reactions_drug_tbl_df, is a tibble containing detailed information on 69 biochemical reactions involving drug molecules. It includes enzyme-mediated transformations, pharmacological activity of drug metabolites, and mappings between substrates and products as described by DrugBank identifiers.

Usage

data(reactions_drug_tbl_df)

Format

A tibble with 69 observations and 6 variables:

sequence

Numeric variable indicating the order of the metabolic reaction

left_drugbank_id

Character variable with the DrugBank ID of the input compound

left_drugbank_name

Character variable with the name of the input compound

right_drugbank_id

Character variable with the DrugBank ID of the resulting metabolite

right_drugbank_name

Character variable with the name of the resulting metabolite

parent_key

Character variable for linking to external reference records

Details

The dataset name has been kept as 'reactions_drug_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the MedxR package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble data frame. The original content has not been modified in any way.

Source

Data taken from the covid19dbcand package version 0.1.1

View Available Datasets in MedxR

Description

This function lists all datasets available in the 'MedxR' package. If the 'MedxR' package is not loaded, it stops and shows an error message. If no datasets are available, it returns a message and an empty vector.

Usage

view_datasets_MedxR()

Value

A character vector with the names of the available datasets. If no datasets are found, it returns an empty character vector.

Examples

if (requireNamespace("MedxR", quietly = TRUE)) {
  library(MedxR)
  view_datasets_MedxR()
}