Showing 128 of total 128 results (show query)

elipousson

officerExtras:Extra Helpers for 'officer'

Helper and convenience functions using the 'officer' package to modify docx files.

Maintained by Eli Pousson. Last updated 2 months ago.

microsoft-wordofficer

20.9 match 13 stars 3.41 score 3 scripts

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

3.4 match 7 stars 9.11 score 1.3k scripts 6 dependents

sbgraves237

Ecdat:Data Sets for Econometrics

Data sets for econometrics, including political science.

Maintained by Spencer Graves. Last updated 4 months ago.

4.0 match 2 stars 7.25 score 740 scripts 3 dependents

r-forge

R2MLwiN:Running 'MLwiN' from Within R

An R command interface to the 'MLwiN' multilevel modelling software package.

Maintained by Zhengzheng Zhang. Last updated 5 months ago.

3.4 match 5.35 score 125 scripts

pik-piam

mredgebuildings:Prepare data to be used by the EDGE-Buildings model

Prepare data to be used by the EDGE-Buildings model.

Maintained by Robin Hasse. Last updated 2 days ago.

3.5 match 3.72 score

janmarvin

msoc:Encrypt and Decrypt of office open xml files

Provide encryption and decryption functions for the Office Open XML file format.

Maintained by Jan Marvin Garbuszus. Last updated 3 months ago.

encryption-decryptionooxmlopensslcpp

3.5 match 2 stars 2.90 score 4 scripts

elipousson

legistarapi:Access the Legistar Web API

Access public data using the Legistar Web API.

Maintained by Eli Pousson. Last updated 6 months ago.

legistar

1.8 match 2.48 score 3 scripts

pakabuka

uscoauditlog:United States Copyright Office Product Management Division SR Audit Data Dataset Cleaning Algorithms

Intended to be used by the United States Copyright Office Product Management Division Business Analysts. Include algorithms for the United States Copyright Office Product Management Division SR Audit Data dataset. The algorithm takes in the SR Audit Data excel file and reformat the spreadsheet such that the values and variables fit the format of the online database. Support functions in this package include clean_str(), which cleans instances of variable AUDIT_LOG; clean_data_to_excel(), which cleans and output the reorganized SR Audit Data dataset in excel format; clean_data_to_dataframe(), which cleans and stores the reorganized SR Audit Data data set to a data frame; format_from_excel(), which reads in the outputted excel file from the clean_data_to_excel() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys. format_from_dataframe(), which reads in the outputted data frame from the clean_data_to_dataframe() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys; support_function(), which takes in the dictionary outputted either from the format_from_dataframe() or format_from_excel() function and returns the data as a formatted data frame according to the original U.S. Copyright Office SR Audit Data online database. The main function of this package is clean_format_all(), which takes in an excel file and returns the formatted data into a new excel and text file according to the format from the U.S. Copyright Office SR Audit Data online database.

Maintained by Frederick Liu. Last updated 3 years ago.

3.7 match 1.00 score

agqhammond

UKFE:UK Flood Estimation

Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 13. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "Improving the FEH statistical procedures for flood frequency estimation", Environment Agency (2008, ISBN: 978 1 84432 920 5). "Low flow estimation in the United Kingdom", Institute of Hydrology (1992, ISBN 0 948540 45 1). Wallingford HydroSolutions, (2016, <http://software.hydrosolutions.co.uk/winfap4/Urban-Adjustment-Procedure-Technical-Note.pdf>). Data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>).

Maintained by Anthony Hammond. Last updated 1 months ago.

1.6 match 1 stars 1.78 score

meganmorbitzer

ddiv:Data Driven I-v Feature Extraction

The Data Driven I-V Feature Extraction is used to extract Current-Voltage (I-V) features from I-V curves. I-V curves indicate the relationship between current and voltage for a solar cell or Photovoltaic (PV) modules. The I-V features such as maximum power point (Pmp), shunt resistance (Rsh), series resistance (Rs),short circuit current (Isc), open circuit voltage (Voc), fill factor (FF), current at maximum power (Imp) and voltage at maximum power(Vmp) contain important information of the performance for PV modules. The traditional method uses the single diode model to model I-V curves and extract I-V features. This package does not use the diode model, but uses data-driven a method which select different linear parts of the I-V curves to extract I-V features. This method also uses a sampling method to calculate uncertainties when extracting I-V features. Also, because of the partially shaded array, "steps" occurs in I-V curves. The "Segmented Regression" method is used to identify steps in I-V curves. This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140. Further information can be found in the following paper. [1] Ma, X. et al, 2019. <doi:10.1109/JPHOTOV.2019.2928477>.

Maintained by Megan M. Morbitzer. Last updated 4 years ago.

0.8 match 3.62 score 23 scripts 1 dependents

kvasilopoulos

onsr:Client for the 'ONS' API

Client for the 'Office of National Statistics' ('ONS') API <https://api.beta.ons.gov.uk/v1>.

Maintained by Kostas Vasilopoulos. Last updated 1 years ago.

0.5 match 9 stars 3.88 score 17 scripts

usaid-oha-si

Wavelength:Wavelength

USAID OHA Office. Munging of mission weekly HFR data.

Maintained by Aaron Chafetz. Last updated 2 years ago.

0.6 match 3 stars 3.39 score 55 scripts