app.R Changelog
Changelog for the app.R RefCard.
2.5.1
Jan 01, 2022- Supports for:
- Coercing the variable to be of numeric type, integer type, factor type, character type, logical type, and date/datetime type
- Using conversion specification to convert from character representations to objects of class Date
- Using Lubridate package to parse and manipulate dates
- Using as.POSIXct() to convert from numeric representations to objects of class Date
- Fixed:
- Clears output code after loading new dataset
2.4.0
Dec 25, 2021- Supports for:
- Finding levels attribute of a factor variable
- Defining labels for the levels of a factor variable
- Setting reference level for a factor variable
- Reordering levels of a factor based on a numeric variable
2.3.0
Nov 15, 2021- Features added include:
- Creating new columns using
transform()
function in the base R andmutate()
function in the dplyr - Adding columns to a specific position using
add_column()
function in the tibble - Using the numeric operators & functions in R
2.2.1
Nov 4, 2021- Runs on R version 4.1 or newer and RStudio version 1.4 or newer
- Uses native pipe operator
- Supports for sorting rows based on one/two variables
- Filtering consecutive observations is modified
2.1.0
Sep 17, 2021- Supports for:
- Importing data from .dta (Stata) files
- Selecting consecutive variables
2.0.0
Mar 20, 2021- Supports for:
- Selecting variables (columns) by index
- Selecting variables using dplyr selection helpers
- Filtering observations (rows) by position
- Subsetting observations by index or range of indices
- Filtering observations based on logical condition
- Selecting a range of observations
- Finding complete cases, i.e., cases have no missing values
1.3.1
Mar 05, 2021- Fixed mapping of input parameter labels to actual arguments
1.3.0
Mar 04, 2021- Supports for:
- Connecting to a local or remote Microsoft SQL Server
- Management of the SQL Server Express LocalDB
- Reading data stored in a table of the database
- Querying the Microsoft SQL Server
1.2.0
Feb 20, 2021- Supports for exporting data to a formatted text file using write.table
1.1.0
Feb 17, 2021- Supports for:
- Loading default dataset
- Management of libraries
- Customizing theme using Shiny Themes
1.0.0
Feb 10, 2021- Features include:
- Importing formatted text files using read.table
- Reading big data files efficiently using data.table
- Working with excel files
- Importing data from .sav (SPSS) files
- Getting data from .sas7bdat (SAS) files