Version 1.1.0 (2020-03-17)

• Improvements:
  • Packages googlesheets, googlesheets4 and readr are not dependencies anymore;
  • A new function febr2sf is available as a replacement for febr2sp – sp is not dependencies anymore;
  • febr2xlsx is now deprecated – xlsx is not dependencies anymore;
• Bug fix:
  • layer: standard variables are only set to type character when stack = TRUE.

Version 1.0.3.9004 (2020-03-11)

• Getting rid of googlesheets4.

Version 1.0.3.9003 (2020-03-10)

• Using Sys.sleep(time = 10) to pass checks in functions examples. This is necessary because the new Google Sheets API has a limit of 500 requests per 100 seconds per project, and 100 requests per 100 seconds per user (https://developers.google.com/sheets/api/limits). This issue has also been found elsewhere, e.g. https://stackoverflow.com/questions/53765222/python-google-sheets-api-limit-429-error-with-loop. We soon will remove the dependency upon googlesheets4 and thus solve this issue.
• Preparing for removal of googlesheets4 from the list of imports.

Version 1.0.3.9002 (2020-03-09)

• Improvements:
  • New function: febr2sf as a replacement for febr2sp;
  • Replaces googlesheets with .readGoogleSheets;
  • febr2xlsx is now deprecated and febr does not depend upon xlsx anymore;
  • Improves documentation;
• Bug fixes:
  • layer: standard variables are only set to type character when stack = TRUE;

Version 1.0.3.9001 (2020-03-08)

• Improvements:
  • Replaces sp with sf;
  • Exports new data reading function: .readGoogleSheets;
  • Improves documentation;
• Bug fixes:
  • metadata: get correct file id.

Version 1.0.3.9000 (2020-02-09)

• Replacing googlesheets with googlesheets4.

Version 1.0.3 (2020-01-25)

• New version (patch) including internal changes in download functions and documentation improvements.

Version 1.0.2.9001 (2020-01-24)

• Preparing for future modifications in data storage in febr. Now the sheet name (dataset, observacao, camada or metadado) is explicitly specified withing download functions. The user should not have to worry about this change.

Version 1.0.2.9000 (2019-09-05)

• Bug fix: setting argument missing = list(coord = 'drop') in function observation() now correctly drops observations missing spatial coordinates. Thanks to Edberto Moura Lima, from the Federal University of Santa Maria, who identified the bug. Equivalent modifications were implemented in function layer().

Version 1.0.2 (2019-05-06)

• New version (patch) – including several bug fixes.

Version 1.0.1.9003 (2019-05-05)

• Bug fixes:
  • knitr was moved from Imports to Suggests.
  • observatio(): checking if the number of observations with date is greater than the number of observations without date.
  • unit(): checking if the value passed to an argument is valid.

Version 1.0.1.9002 (2019-04-25)

• #VALUE! now is considered as NA. This can be found when a calculation is performed in one of the Google Sheets.

Version 1.0.1.9001 (2019-03-09)

• tr now is considered as NA. This is frequently found in the camada table.

Version 1.0.1.9000 (2018-12-08)

• Bug fixes:
  • Many layers from datasets that have not gone through revision yet are lacking the identification code camada_id, which is automatically set to NA_character_. In these cases, when merging repeated layer data using layer(standardization = list(repetition = "combine")), the entire observation would be merged. This was because for all layers camada_id = NA_character_, that is, camada_id was duplicated. Now duplicates are checked using duplicated(incomparables = NA) to avoid incorrect merges.
  • The lowermost limit of some layers is recorded as being a wavy or irregular layer trasitions. This is done using /. The depth data of these layes may include a plus sign indicating that the same material can be found deeper in the soil. This poses a difficulty when processing the plus sign with eval() and parse() because / is interpreted as a division sign. Now the presence of / is checked before deciding how to deal with the plus sign.

Version 1.0.1 (2018-11-11)

• New version (patch) – including several bug fixes.

Version 1.0.0.9009 (2018-11-11)

• Adjustments for new release.

Version 1.0.0.9008 (2018-11-04)

• Bug fixes:
  • Corrects the arrangement of the columns of the table containing measurement units and fields names.
  • Corrects the stacking of measurement units and fields names.
  • Takes into account that both ‘<’ and ‘<’ are used to indicate ‘less than’.
  • - is used as a surrogate measurement unit for variables that are unitless.

Version 1.0.0.9007 (2018-11-03)

• Bug fix: proceeds with standardization and harmonization only when the dataset has data on the selected variables. This should produce a minor speed improvement.

Version 1.0.0.9006 (2018-11-03)

• Bug fix: - is used as a surrogate measurement unit for variables that are unitless. This is necessary to perform data standardization.

Version 1.0.0.9005 (2018-11-02)

• Bug fix: exports correct data type when combining categorical data values when there are repeated measurements.

Version 1.0.0.9004 (2018-11-02)

• Bug fix: stops execution of layer and observation when downloading a single dataset with stack = TRUE.

Version 1.0.0.9003 (2018-11-02)

• Accommodates changes in febr:
  • Field camada_numero now is camada_id.
  • Field amostra_codigo now is amostra_id.

Version 1.0.0.9002 (2018-11-01)

• Bug fix: during the standardization of measurement units, now understands that measurements units are stored in the second line of tables camada and observacao.

Version 1.0.0.9001 (2018-07-16)

• Bug fixes.
• Updates authorship information.
• Adds METACRAN package download badge (https://www.r-pkg.org/services).
• Adds custom package devel version badge (based on https://github.com/GuangchuangYu/badger).

Version 1.0.0.9000 (2018-07-13)

• New string used to identify comments in data tables camada and observacao. Now using #metadado> – as a replacement of #unidade. This allows setting multiple lines with comments.
• Functions layer and observation: the measurement unit, field_unit, and true variable name, field_name, are exported as attributes of the output data.frame object.

Version 1.0.0 (2017-03-09)

• Submission to CRAN.