Title: Simulation of the Growth of Framboidal and Sunflower Pyrite
Authors@R: c(person(given = "Raul", family = "Merinero", role = c("aut","cre"), email = "rmeriner@ucm.es"),
person(given = "Victor", family = "Cardenes", role = "aut"))
Description: Generation of theoretical size distributions of framboidal or sunflower pyrite.
The growth mechanisms used are surface and supply controlled and dependent
or independent of size. The algorithms are fully described in the published work
"Theoretical growth of framboidal and sunflower pyrite using the R-package frambgrowth"
The authors Merinero, R., and Cardenes, V. (2018).

Description: Provides a friendly interface for modifying data frames with a sequence of piped commands built upon the 'tidyverse' Wickham et al., (2019) <doi:10.21105/joss.01686> . The majority of commands wrap 'dplyr' mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. Includes smart defaults and allows flexible selection of columns via 'tidyselect'.
Imports: dplyr, stringr, stringi, tidyselect, purrr, janitor, rlang,
lubridate, magrittr, tibble, rstudioapi, tidyr, forcats, bit64,
rio, readr, vroom, readxl, fs, rlist, printr

Imports: dplyr, stringr, tidyselect, purrr, janitor, rlang, lubridate,
magrittr, tibble, rstudioapi, forcats, bit64, rio, readr,
Suggests: knitr, rmarkdown, badger, readxl

Author: Gabor Csardi, Titus Wormer, Maciej Ceglowski, Jacob R. Rideout,
Description: With no external dependencies and
support for 335 languages; all languages spoken by
more than one million speakers. 'Franc' is a port
of the 'JavaScript' project of the same name,
Collate: 'distances.R' 'expressions.R' 'franc.R' 'ngrams.R'
Packaged: 2015-11-12 11:29:44 UTC; gaborcsardi

Packaged: 2019-02-25 16:26:26 UTC; gaborcsardi

Packaged: 2021-01-27 10:04:07 UTC; gaborcsardi

Packaged: 2021-10-18 08:11:03 UTC; gaborcsardi

Title: Automatic Data Processing and Visualization for FRAP
Description: Automatically process Fluorescence Recovery After Photobleaching (FRAP) data and generate consistent, publishable figures. Note: this package does not replace 'ImageJ' (or its equivalence) in raw image quantification. Some references about the methods: Sprague, Brian L. (2004) <doi:10.1529/biophysj.103.026765>; Day, Charles A. (2012) <doi:10.1002/0471142956.cy0219s62>.