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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...
Dataframe may refer to: A tabular data structure common to many data processing libraries: pandas (software) § DataFrames; The Dataframe API in Apache Spark;
JGR (pronounced 'Jaguar') is a universal and unified graphical user interface for the R programming language, licensed under the GNU General Public License.. JGR is a cross-platform stand-alone R terminal, and can be used as a more advanced substitute to the default Rgui (on Windows) or to a simple R session started from a terminal.
Wolfram Language [8] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user program. XploRe
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
For example, the padding to add to offset 0x59d for a 4-byte aligned structure is 3. The structure will then start at 0x5a0, which is a multiple of 4. However, when the alignment of offset is already equal to that of align , the second modulo in (align - (offset mod align)) mod align will return zero, therefore the original value is left unchanged.
The R-tree was proposed by Antonin Guttman in 1984 [2] and has found significant use in both theoretical and applied contexts. [3] A common real-world usage for an R-tree might be to store spatial objects such as restaurant locations or the polygons that typical maps are made of: streets, buildings, outlines of lakes, coastlines, etc. and then ...