Package name changed from 'data' to 'data.io'

DESCRIPTION

@@ -1,8 +1,8 @@
-Package: data
+Package: data.io
 Type: Package
 Version: 1.0.0
-Title: Read Data from Files or Datasets in R Packages in Different Formats
-Description: Read data from many different formats (tabular datasets, images,
+Title: Data Input/Output, Read or Write Data from Files or Datasets in R Packages in Different Formats
+Description: Read or write data from many different formats (tabular datasets, images,
   ...) into R objects. Add labels and units in different languages.
 Authors@R: c(person("Philippe", "Grosjean", role = c("aut", "cre"),
   email = "[email protected]"))
@@ -13,8 +13,8 @@ Suggests: SciViews, readxl, haven, WriteXLS, openxlsx, covr, knitr, testthat
 License: GPL-2
 Encoding: UTF-8
 LazyData: true
-URL: https://github.com/SciViews/data, http://www.sciviews.org/SciViews-R
-BugReports: https://github.com/SciViews/data/issues
+URL: https://github.com/SciViews/data.io, http://www.sciviews.org/SciViews-R
+BugReports: https://github.com/SciViews/data.io/issues
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 6.0.1
 VignetteBuilder: knitr

NEWS.md

@@ -1,5 +1,5 @@
-# data News
+# data.io News
 
-## Changes in data 1.0.0
+## Changes in data.io 1.0.0
 
 First version of the package on Github.

R/as_dataframe.R

@@ -191,7 +191,7 @@ is.dataframe <- is_dataframe
 #  NextMethod()
 #}
 # Test
-#library(data)
+#library(data.io)
 #urchin <- read("urchin_bio", package = "data")
 #class(urchin)
 #library(glue)

R/data-package.R → R/data.io-package.R

@@ -1,6 +1,6 @@
-#' data - Read Data from Files or Datasets in R Packages in Different Formats
+#' data.io - Data Input/Output, Read or Write Data from Files or Datasets in R Packages in Different Formats
 #'
-#' Read data from many different formats (tabular datasets, images, ...) into R
+#' Read or write data from many different formats (tabular datasets, images, ...) into R
 #' objects.
 #'
 #' @section Important functions:

R/data_example.R

@@ -15,4 +15,4 @@
 #' @examples
 #' data_example("iris.csv")
 data_example <- function(path)
-  system.file("extdata", path, package = "data", mustWork = TRUE)
+  system.file("extdata", path, package = "data.io", mustWork = TRUE)

README.md

@@ -1,21 +1,21 @@
-# data - SciViews datasets and read()/write() functions
+# data.io - SciViews datasets and read()/write() functions
 
-[![Linux & OSX Build Status](https://travis-ci.org/SciViews/data.svg )](https://travis-ci.org/SciViews/data)
-[![Win Build Status](https://ci.appveyor.com/api/projects/status/github/SciViews/data?branch=master&svg=true)](http://ci.appveyor.com/project/phgrosjean/data)
-[![Coverage Status](https://img.shields.io/codecov/c/github/SciViews/data/master.svg)
-](https://codecov.io/github/SciViews/data?branch=master)
-[![CRAN Status](http://www.r-pkg.org/badges/version/data)](http://cran.r-project.org/package=data)
+[![Linux & OSX Build Status](https://travis-ci.org/SciViews/data.io.svg )](https://travis-ci.org/SciViews/data.io)
+[![Win Build Status](https://ci.appveyor.com/api/projects/status/github/SciViews/data.io?branch=master&svg=true)](http://ci.appveyor.com/project/phgrosjean/data.io)
+[![Coverage Status](https://img.shields.io/codecov/c/github/SciViews/data.io/master.svg)
+](https://codecov.io/github/SciViews/data.io?branch=master)
+[![CRAN Status](http://www.r-pkg.org/badges/version/data.io)](http://cran.r-project.org/package=data.io)
 [![License](https://img.shields.io/badge/license-GPL-blue.svg)](http://www.gnu.org/licenses/gpl-2.0.html)
 
 
 ## Installation
 
 ### Latest stable version
 
-The latest stable version of **data** can simply be installed from [CRAN](http://cran.r-project.org):
+The latest stable version of **data.io** can simply be installed from [CRAN](http://cran.r-project.org):
 
 ```r
-install.packages("data")
+install.packages("data.io")
 ```
 
 
@@ -27,30 +27,30 @@ Make sure you have the **devtools** R package installed:
 install.packages("devtools")
 ```
 
-Use `install_github()` to install the **data** package from Github (source from **master** branch will be recompiled on your machine):
+Use `install_github()` to install the **data.io** package from Github (source from **master** branch will be recompiled on your machine):
 
 ```r
-devtools::install_github("SciViews/data")
+devtools::install_github("SciViews/data.io")
 ```
 
-R should install all required dependencies automatically, and then it should compile and install **data**.
+R should install all required dependencies automatically, and then it should compile and install **data.io**.
 
-Latest devel version of **data** (source + Windows binaires for the latest stable version of R at the time of compilation) is also available from [appveyor](https://ci.appveyor.com/project/phgrosjean/data/build/artifacts).
+Latest devel version of **data.io** (source + Windows binaires for the latest stable version of R at the time of compilation) is also available from [appveyor](https://ci.appveyor.com/project/phgrosjean/data.io/build/artifacts).
 
 
 ## Usage
 
-Make the **data** package available in your R session:
+Make the **data.io** package available in your R session:
 
 ```r
-library("data")
+library("data.io")
 ```
 
 Get help about this package:
 
 ```r
-library(help = "data")
-help("data-package")
+library(help = "data.io")
+help("data.io-package")
 ```
 
 For further instructions, please, refer to these help pages.

TODO

@@ -1,4 +1,4 @@
-# data To Do list
+# data.io To Do list
 
 * geyser translation files are missing!
 

data-raw/mauna_loa.R

@@ -1,16 +1,16 @@
 SciViews::R
-library(data)
+library(data.io)
 library(dplyr)
 library(tidyr)
-mauna_loa <- data::read(here::here("data-raw", "mauna_loa.xls"),
+mauna_loa <- data.io::read(here::here("data-raw", "mauna_loa.xls"),
   sheet = "avg_temp",na = "-----", skip = 11L, header = NULL, lang = NULL,
   as_dataframe = FALSE) %>%
   select(c(1, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24)) %>%
   gather(month, avg_temp, -year) %>%
   arrange(year) %>%
   mutate(avg_temp = round((avg_temp - 32) / 1.8, 1))
 
-mauna_loa$min_temp <- data::read(here::here("data-raw", "mauna_loa.xls"),
+mauna_loa$min_temp <- data.io::read(here::here("data-raw", "mauna_loa.xls"),
   sheet = "min_temp",na = "-----", skip = 11L, header = NULL, lang = NULL,
   as_dataframe = FALSE) %>%
   select(c(1, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24)) %>%
@@ -19,7 +19,7 @@ mauna_loa$min_temp <- data::read(here::here("data-raw", "mauna_loa.xls"),
   mutate(min_temp = round((min_temp - 32) / 1.8, 1)) %>%
   pull(min_temp)
 
-mauna_loa$max_temp <- data::read(here::here("data-raw", "mauna_loa.xls"),
+mauna_loa$max_temp <- data.io::read(here::here("data-raw", "mauna_loa.xls"),
   sheet = "max_temp",na = "-----", skip = 11L, header = NULL, lang = NULL,
   as_dataframe = FALSE) %>%
   select(c(1, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24)) %>%
@@ -28,7 +28,7 @@ mauna_loa$max_temp <- data::read(here::here("data-raw", "mauna_loa.xls"),
   mutate(max_temp = round((max_temp - 32) / 1.8, 1)) %>%
   pull(max_temp)
 
-mauna_loa$avg_co2 <- data::read(here::here("data-raw", "mauna_loa.xls"),
+mauna_loa$avg_co2 <- data.io::read(here::here("data-raw", "mauna_loa.xls"),
   sheet = "CO2",na = "-99.99", skip = 69L, header = NULL, lang = NULL,
   as_dataframe = FALSE) %>%
   mutate(avg_CO2 = round(avg_CO2, 1)) %>%

data-raw/urchin_bio.R

@@ -1,6 +1,6 @@
 SciViews::R
-library(data)
-urchin_bio <- data::read(here::here("data-raw", "urchin_bio.xls"),
+library(data.io)
+urchin_bio <- data.io::read(here::here("data-raw", "urchin_bio.xls"),
   lang = NULL, as_dataframe = FALSE)
 urchin_bio$origin <- factor(urchin_bio$origin)
 urchin_bio$maturity <- as.integer(urchin_bio$maturity)

data-raw/urchin_growth.R

@@ -1,6 +1,6 @@
 SciViews::R
-library(data)
-urchin_growth <- data::read(here::here("data-raw", "urchin_growth.xls"),
+library(data.io)
+urchin_growth <- data.io::read(here::here("data-raw", "urchin_growth.xls"),
   lang = NULL, as_dataframe = FALSE)
 urchin_growth$date <- as.Date(urchin_growth$date)
 comment(urchin_growth) <- NULL

data-raw/zooplankton.R

@@ -1,5 +1,5 @@
 SciViews::R
-library(data)
+library(data.io)
 zooplankton <- readRDS(here::here("data-raw", "zooplankton.rds"))
 attr(zooplankton, "traindir") <- NULL
 attr(zooplankton, "path") <- NULL

tests/testthat.R

@@ -1,3 +1,3 @@
 library("testthat")
 
-test_check("data")
+test_check("data.io")

tests/testthat/test-read.R

@@ -3,6 +3,6 @@ context("read")
 describe("read() R package datasets", {
 
   it("reads package datasets when package= argument is provided", {
-    expect_is(read("urchin_bio", package = "data"), "dataframe")
+    expect_is(read("urchin_bio", package = "data.io"), "dataframe")
   })
 })

vignettes/SciViews_data.Rmd

@@ -17,7 +17,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-The **data** package provides several example datasets in a standardized way, as well as, a `read()` function to retreive them, or to import external datasets in different formats in an unified way.
+The **data.io** package provides several example datasets in a standardized way, as well as, a `read()` function to retreive them, or to import external datasets in different formats in an unified way.
 
 There are several datasets spread between various R packages, but there is no clear convention to name them, or their variables, on units to use (some are in metric units, but other ones use the imperial unit system), etc. Here, we propose a set of data, partly converted from other packages, partly new ones, that respect the following conventions: