Grepl In R Syntax

Uncaught TypeError: $(…). Best How To : Try. $\begingroup$ Use grepl on the colnames(d) to pick relevant columns and then subset by the results of the grepl. R - Excel File - Microsoft Excel is the most widely used spreadsheet program which stores data in the. 14,1) [1] 3. tbl’s are easier to examine than data frames. If this method fails, look at the following R Wiki link for hints on viewing function sourcecode. fasta > results. parent: Functions to Access the Function Call Stack: Sys. One returns indices vector and the other returns a logical vector. Basically. Suppose if the string is like this -> “#@asdsad” Then I want to extract the string from the third character till the last. > round(22. Hi there, I’ve been struggling with this one for a while. grepl returns a logical vector with the same length as the input vector. length') - 1 - 7) if (subset) { slotsMatch. It can be easily translated in data. I get the following error: Error: could not find function “order_by” Any comments as to why this is happening? Thank you. A set of basic examples can serve as an introduction to the language. Selecting (Keeping) Variables # select variables v1. A text file of Barack Obama's tweets is loaded from RFunction. sub() and gsub() function in R are replacement functions, which replaces the occurrence of a substring with other substring. Skip navigation Sign in. R Programming/R Function grepl 함수 (찾기 기능) 위대하고 아름다운 루치아 (Lucia) 2015. Sixth International Conference on Spectral and High-Order Methods (ICOSAHOM'04) , June 21-25, 2004, Brown University, RI, USA. The tutorial is based on the R functions sub() and gsub(). function and is. Let's take a look on what R users are saying about their salaries. Creating New Variables in R Creating new variables is often required for statistical modeling. # This is concise, organized and lets use avoid having to separately implement a set of 2-3. These functions allow crossing the data in a number of ways and avoid explicit use of loop constructs. 12mL 11 C 7. Below is a short list of basic, commonly-used Excel formulas and their R counterparts. You can choose to plot word clouds of the co-authors and paper titles by setting plotIt=TRUE # # it will automatically produce a pdf file, if you want to set the name/location of this pdffile, set the pdfname="yourname_wordcloud. 4, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. This is important from a workflow efficiency perspective: more than half of a data analyst’s time can be spent re-formatting datasets (H. It is because dplyr functions were written in a computationally efficient manner. To achieve this, I will assign my base plot a name within the function so I can add on to it conditionally. How to change the number of breaks on a datetime axis with R and ggplot2 May 6, 2017 · 3 minute read · Comments. S434{S460 A CERTIFIED TRUST REGION REDUCED BASIS APPROACH TO PDE-CONSTRAINED OPTIMIZATION ELIZABETH QIANy, MARTIN GREPLz, KAREN VEROYx, AND KAREN WILLCOXy Abstract. R function objects that include this tracing code have a red dot in the environment pane, indicating that they contain breakpoints. Each value is called a case, and the variable being switched on is chec. Dplyr package in R is provided with filter() function which subsets the rows with multiple conditions. a remains equal to 5, even after calling triple(a). xlsx file into R, and it's like this:. Observe in the last example that R prints the embedded double quotes by preceding them with the backslash character. grep, grepl, regexpr, gregexpr and regexec search for matches to argument pattern within each element of a character vector: they differ in the format of and amount of detail in the results. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. They are also more stable in the syntax and better supports data frames than vectors. R strsplit Function. Melt Function in R:. To see how try() calls tryCatch() you can examine the guts of the try() function by typing try [without parens] at the R prompt but you may not like what you see. SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. > On Sat, 29 Jan 2011, Kang Min wrote: > > Thanks Prof Ripley, the condition worked! > > Btw I tried to search ?repl but I don't have documentation for it. com/datacamp/datacamp-light. In this case, it is searching "INC" at starting in the column names of data frame mydata. You can customize the R environment to load your functions at start-up. We use two types of regular expressions in R, extended regular expressions (the default) and Perl-like regular expressions used by perl = TRUE. To understand how to work with regular expressions in R, we need to consider two primary features of regular expressions. I usually use any and all to check logical statements applied across a vector, check for NA values, or to examine a vector of logical values. This familiarity with text mining can be very useful because “much of the data proliferating today is unstructured and text-heavy. grepl uses regular expressions to match patterns in character strings. We will be using mtcars data to depict the example of filtering or subsetting. Convenience function for calling grep. Suppose you want to present fractional numbers as percentages, nicely rounded to one decimal digit. For those of us outside the R core development team, this is not a good place to start. cld to recognize emmeans, prob, odds. The following code snippets demonstrate ways to keep or delete variables and observations and to take random samples from a dataset. This help page documents the regular expression patterns supported by grep and related functions grepl, regexpr, gregexpr, sub and gsub, as well as by strsplit. This article explains how to replace pattern in characters in the R programming language. Processing data with R Introducing R and RStudio. The R programming language has become the de facto programming language for data science. Suppose you want to present fractional numbers as percentages, nicely rounded to one decimal digit. An introduction to text processing in R and C++. One of R’s great features is its condition system. Perl Regular Expressions. It can be used to filter out rows in a dataframe based on a particular substring in a column value, as: It can be used to filter out rows in a dataframe based on a particular substring in a column value, as:. For example, perhaps you have a body of text as a pathology report and you want to extract all the reports where the diagnosis is ‘dysplasia’. I need a explanation why grep function behave usually ?? or its just my wring interpretation ? I have list of character that need to extract from matrix/data frame by row. runif generates random numbers between 0 and 1. Note that binary operators work on vectors and matrices as well as scalars. The Perl grep() function is a filter that runs a regular expression on each element of an array and returns only the elements that evaluate as true. (similar to R data frames, dplyr ) but on large datasets. org [mailto:r-help-bounces at r-project. We do not need to use library function to use the function. Melt Function in R:. 5 million rows from this dataframe I need to filter out identifiers. It's data structure and working environment are perfect for analysis of large sized data. In today’s class we will work with R, which is a very powerful tool, designed by statisticians for data analysis. OK, I Understand. A function that calls itself is called a recursive function and this technique is known as recursion. _____ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. I usually use any and all to check logical statements applied across a vector, check for NA values, or to examine a vector of logical values. All function and argument names (and positions) are consistent, all functions deal with. Need help writing a code for this. In this case, it is searching "INC" at starting in the column names of data frame mydata. The following code snippets demonstrate ways to keep or delete variables and observations and to take random samples from a dataset. A 'regular expression' is a pattern that describes a set of strings. Programming recipes The following recipes walk you through the basics of tidyeval, with the nominal goal of reducing duplication in dplyr code. I am applying a function A which uses grepl to check if the value contains 'M', if true (strip 'M', convert to numeric value, and divide by 1000). The grepl function takes the same arguments as the grep function, except for the value argument, which is not supported. In this exercise you once again use a negated grepl() to remove "positive|negative" emotional classes from the chart. NOTE: This man page is for the grep and grepl S4 generic functions defined in the BiocGenerics package. frame is like this. localeconv: Find Details of the Numerical and Monetary Representations in the Current Locale: sys. Looping: lapply, sapply, mapply & apply Posted on January 15, 2016 August 13, 2017 by John Taveras The apply family of functions takes the prize for being the most useful yet most confusing and unintuitive (at least initially). The byte compiler was first introduced with R 2. $\begingroup$ Use grepl on the colnames(d) to pick relevant columns and then subset by the results of the grepl. In the previous sections, you have gotten started with supervised learning in R via the KNN algorithm. One returns indices vector and the other returns a logical vector. Regex Syntax. 5mL -1 C 10. Base R Cheat Sheet RStudio® is a trademark of RStudio, Inc. We use cookies for various purposes including analytics. merge() can do everything VLOOKUP can do, and more!. To do this i tired with few subset and grepl function. I have a data. localeconv: Find Details of the Numerical and Monetary Representations in the Current Locale: sys. For each record, we will then split it by the field delimiter (i. Hi, I'd like to match the beginning and the end of a string. It will return TRUE if “PhD” is in the description, and FALSE if it was not. To my knowledge the “state of the art” R package for GARCH model estimation and inference (along with other work) is fGarch; in particular, the function garchFit() is used for estimating GARCH models from data. SIMULATION, CONTROL DESIGN AND EXPERIMENTAL TESTING OF UNSTABLE MOBILE DEVICE Svejda, P. Package ‘stringr’ February 10, 2019 Title Simple, Consistent Wrappers for Common String Operations Version 1. For patter matching the grep() and grepl() functions are used. _____ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. Hi Rachel sorry for the slow reply to this. Wickham 2014 b), so getting it into a suitable form early could save hours in the future. To understand how to work with regular expressions in R, we need to consider two primary features of regular expressions. grep, grepl, regexpr, gregexpr and regexec search for matches to argument pattern within each element of a character vector: they differ in the format of and amount of detail in the results. OK, I Understand. It can be easily translated in data. We can avoid this by using is. This saves you the need for creating intermediary objects, and also avoids repeating the object name in every function: the tidyverse functions “know” that the object that is passed through the pipe is the data = argument of that function. The grep function is used to check which tweets include Romney’s name, and then we print those out. ggrepel provides geoms for ggplot2 to repel overlapping text labels:. Approximate string matching in R. For consistency, however, we next look at filtering columns. Eg: Consider a vector with character. 2/2, December 2010 ISSN 2073-4859. 5,0) # rounds to even number [1] 22 > round(3. Arguments data data frame. Hi, I'd like to match the beginning and the end of a string. R String Manipulation Functions. If the function object doesn’t exist yet (for instance, because you haven’t called source() on the file), or the function object doesn’t match the contents of the editor (for instance, because you’ve. Is > > it in a non-basic package?. using grepl in dplyr. This helps in searching and then matching the value with the given pattern. Join the DZone community and get the full member experience. R can read directly from these files using some excel. 0 Description A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. name, use the following:. com" - since a simple search in the view window shows me that those are all spam. Stackoverflow has recently released the anonymized results of their 2019 annual developer survey. For patter matching the grep() and grepl() functions are used. Basically. If NULL, the default, asserts that there should be an output, a messsage, a warning, or an error, but does not test for specific value. strsplit() function splits the elements of a character vector x into substrings according to the matches to substring split within them. For those of us outside the R core development team, this is not a good place to start. Finally, you may want to store your own functions, and have them available in every session. You can customize the R environment to load your functions at start-up. Using Grepl on full data table with ifelse statement I cant quite get the syntax correct to do this. grepl uses regular expressions to match patterns in character strings. There are many occasions when a column of data needs to be created from an already existing column for ease of data manipulation. This help page documents the regular expression patterns supported by grep and related functions regexpr, gregexpr, sub and gsub, as well as by strsplit. Ask Question Asked 6 years, 3 months ago. Here is an example of Infer gender from name (3): After a close look at the different titles that appeared in the previous exercise, we made a selection of titles that can be linked to male passengers. GitHub Gist: instantly share code, notes, and snippets. Loops are used in programming to repeat a specific block of code. Based on regexpr and gregexpr. R-Fiddle has been deprecated. name, use the following:. If you know the exact position of a subtext inside a text element, you use the substr() function to return the value. You've got a website You've got R code buildModel - function(myData. floor takes a single numeric argument x and returns a numeric vector containing the largest integers not greater than the corresponding elements of x. frame nmmaps. Next, make your R code more efficient and readable using the apply functions. The dataset consists. The help() function and ? operator are useful only if you already know the name of the function that you wish to use. R Switch statement allows us to add default statement. It is similar to DATA= in SAS. 특정한 규칙을 가진 텍스트를 찾기 위해서는 정규표현식(Regular Expression)을 사용해야 합니다. ch grep, grepl, regexpr, gregexpr and regexec search for matches to argument pattern within each element of a character vector: they differ in the format of and amount of detail in the results. Home » R » R : Character Functions This tutorial explains some of the most useful string or character functions in R. Let's assume that any client abroad doesn't need to pay VAT for the sake of the example. Delete Data Frame in R Posted on October 9, 2015 May 29, 2016 by John Taveras It is good practice to keep a clean workspace by removing objects that are no longer being used. The grepl function takes the same arguments as the grep function, except for the value argument, which is not supported. To my knowledge the “state of the art” R package for GARCH model estimation and inference (along with other work) is fGarch; in particular, the function garchFit() is used for estimating GARCH models from data. R function objects that include this tracing code have a red dot in the environment pane, indicating that they contain breakpoints. R Recursive Function In this tutorial, you will learn to create a recursive function (a function that calls itself) in R programming. see also splitByPattern() (R. Looping: lapply, sapply, mapply & apply Posted on January 15, 2016 August 13, 2017 by John Taveras The apply family of functions takes the prize for being the most useful yet most confusing and unintuitive (at least initially). In this lesson, you will learn about the grep and grepl functions in R programming and how they are used to locate patterns in data during the process of data acquisition. R - Vectors - Vectors are the most basic R data objects and there are six types of atomic vectors. The readinteger function has been explained in a previous example. Stackoverflow has recently released the anonymized results of their 2019 annual developer survey. BiocGenerics for a summary of all the generics defined in the BiocGenerics package. Base R Cheat Sheet RStudio® is a trademark of RStudio, Inc. Grep Function. rm = TRUE)), desc (gini)), n = 5) This section has provided only a taster of what is possible dplyr and why it makes sense from code writing and computational efficiency perspectives. Stackoverflow has recently released the anonymized results of their 2019 annual developer survey. First, let us have a look at what we tried to achieve with our function. sub and gsub perform replacement of the first and all matches respectively. cld to recognize 'rate" from glm() # 2018-01-15 CJS fixed plot. Both packages implemented Saif Mohammad’s NRC Emotion lexicon , comprised of several words for emotion expressions of anger, fear, anticipation, trust, surprise, sadness, joy, and disgust. About this ebook Abstract This ebook aims to help you get started with manipulating strings in R. The plugin also contains a function called RAction which allows you to build ad-hoc commands to R. Selecting (Keeping) Variables # select variables v1. Reduced-Basis Approximation of Parametrized Parabolic Partial Differential Equations. 1 Function components. Decision making is an important part of programming. I want to extract all strings from a vector that beginn with "12" and end. bar for new way to extract y range # 2018-03-26 CJS fixed plot. 5mL -1 C 10. ‘R CMD check’ now tries re-building all vignettes rather than stopping at the first error: whilst doing so it adds ‘bookmarks’ to the log. In R, you can view a function's code by typing the function name without the ( ). GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Decision making is an important part of programming. For a quick introduction, you can read more user friendly Python help[2] as well, since its regular expressions syntax is close to R. In R, you can view a function's code by typing the function name without the ( ). As the strings can’t be directly compared using normal logical operators, we will make use of the grepl function. Stackoverflow has recently released the anonymized results of their 2019 annual developer survey. The dplyr equivalent of aggregate, for example is to use the grouping function group_by in combination with the general purpose function summarise (not to be confused with summary in base R), as we shall see in Section 4. RANK OVER PARTITION is the most popular window function. A key skill in data analysis is understanding the structure of datasets and being able to 'reshape' them. 0 that study may use the PCRE JIT compiler on platforms where it is available. We do not need to use library function to use the function. The first argument to polygon() is the vector of x values and the second argument is the vector of y values, giving the vertices of the polygon. This help page documents the regular expression patterns supported by grep and related functions grepl, regexpr, gregexpr, sub and gsub, as well as by strsplit. Programming recipes The following recipes walk you through the basics of tidyeval, with the nominal goal of reducing duplication in dplyr code. Base R Cheat Sheet RStudio® is a trademark of RStudio, Inc. Re: how to use AND in grepl Yes it works, but let me explain what I am going to do. Otherwise I return the plot on the original. Grep, which stands for "global regular expression print," is a powerful tool for matching a regular expression against text in a file, multiple files, or a stream of. The other has to do with the functions used for regex matching in R. With the following R code, we can find the character pattern "hello" in our example vector x1:. I have a data. They are logical, integer, double, complex, character and raw. Basically. Presentations. In Spark 2. An introduction to text processing in R and C++. I have read the background in Elements of Statistical Learning and arthur charpentier's nice post on it. However, the task was not simply to duplicate all the functionality, but rather to make use of R's strengths (modeling, method dispersion, flexibility in function definition and output format) and make a tool that fits the needs. For instance, if you want to name the elements of a (numeric) vector, you can use the function names() as follows:. All functions can be used with literal searches switches using fixed = TRUE for base or by wrapping patterns with fixed() for stringr. These features can be used to select and exclude variables and observations. [HINDI] Regular Expressions(Grepl & Grep) in R | R Programming | Data Science | 2019 🔵Don't forget to Subscribe: https://www. , Sometime user of R, especially for graphs. Uncaught TypeError: $(…). org Subject: Re: [R] Subset using grepl I have a new question, also regarding grepl. msh mash dist reference. The inputs to this function are the merged data frame, the world data containing geographical coordinates, and the data type, period and indicator the user will select in the R Shiny app. Replace the first occurrence of a pattern with sub or replace all occurrences with gsub. A set of strings will define as regular expressions. In this section, we will cover both of these aspects. sub and gsub perform replacement of the first and all matches respectively. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed. sub() Function in R replaces the first instance of a substring gsub() function in R replaces all the instances of a substring. The readinteger function has been explained in a previous example. grep(), grepl(): These functions search for matches of a regular expression/pattern in a character vector. grepl() is a built-in R function looks for a smaller string of characters (like "PhD") inside a larger one (like our description). Several years ago our team began using SurveyGizmo for our online surveys (and, actually, a bunch of other projects as well, from polls to data entry templates). table an R object coercible to a u_char_range vector of Unicode character range via as. Syntax of for. In the dataset there are a bunch of names, but for reasons in how the data was entered I only need the names with one word in them. Syntax should be familiar to SQL users, with interpretation as regex. R can read directly from these files using some excel. Then how can I use grepl, sapply or any other useful function in R to generate data into as follows: id content addr 1 I came from China China 2 I came from America America 3 I came from Canada Canada 4 I came from Japan Japan 5 I came from Mars Mars. While executing - RinR::pushPATH('C:/Program Files/R/R-3. For example, perhaps you have a body of text as a pathology report and you want to extract all the reports where the diagnosis is 'dysplasia'. It's data structure and working environment are perfect for analysis of large sized data. ggrepel provides geoms for ggplot2 to repel overlapping text labels:. sub() Function in R replaces the first instance of a substring gsub() function in R replaces all the instances of a substring. The perl = TRUE argument to grep, regexpr , gregexpr, sub, gsub and strsplit switches to the PCRE library that ‘implements regular expression pattern matching using the same syntax and semantics as Perl 5. The best way to learn to swim is by jumping in the deep end, so let's just write a function to show you how easy that is in R. OK, I Understand. table an R object coercible to a u_char_range vector of Unicode character range via as. The R programming language has become the de facto programming language for data science. A user will input a phrase into a text field and the server will read it and see if there's a match in a back-end data table and if so, output the. Convenience function for calling grep. 【R】how to subset in R using conditions with strings The goal of this post is to subset with a condition with strings like below; The data. It serves a similar purpose to the exception handling systems in Java, Python, and C++ but is more flexible. Hello, I want to extract a specific part of a character string in R using the substr() function. 5mL -1 C 10. VALUE where you can specify the type and length of the output that should be returned each time your applied function is. The 'regex' family of languages and commands is used for manipulating text strings. 5 million rows from this dataframe I need to filter out identifiers. Subsetting Data. With "by" you can apply any function to a data frame split by a factor. Metacharacters often need to be escaped. Loading Unsubscribe from Dragonfly Statistics? Cancel Unsubscribe. Join the DZone community and get the full member experience. net framework is pre-default install (@add remove programs) If it do not appear in IIS, register the framework using command xxx @ command prompt. The grepl function, in contrast, returns a logical vector indicating whether a match was found (i. problems with grepl My problem is that I cannot really find a thorough explanation of what syntax R's grep functions are using, some texts say it is close to. In this tutorial, we will learn about grep and grepl function in R. In this tutorial, we will learn about grep and grepl function in R. , Sometime user of R, especially for graphs. xlsx format. names = TRUE)) which are also given by ls (env, all. It includes concatenating two strings, extract portion of text from a string, extract word from a string, making text uppercase or lowercase, replacing text with the other text. From what I have read geocode uses the Google API which has certain restrictions on what you can use it for. Note that binary operators work on vectors and matrices as well as scalars. The grep function is used to check which tweets include Romney’s name, and then we print those out. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. A set of strings will define as regular expressions. In addition, the dplyr functions are often of a simpler syntax than most other data manipulation functions in R. com/datacamp/datacamp-light. a tab) using the R function strsplit(). name, use the following:. Q: This code makes a list of all functions in the base package. In this post, we will attempt a basic analysis of the text from the first. grepl uses regular expressions to match patterns in character strings. parent: Functions to Access the Function Call Stack: Sys. Track tasks and feature requests. grep() and grepl() search for matches of a regular expression/pattern in a character vector. rowMeans function in R find the mean of all the rows and returns the output. ValidEmail is the column/vector we are adding and calls the isValidEmail function passing data from the Email column as a parameter. rm(list=ls()) #clearing workspace library(rvest) #web scraping library(stringr) #text manipulatoin library(beepr) #alarm sound library(dplyr) #count if(Sys. mean, median, sd, med, range) can be specified, however there are a number of extra functions defined specifically for the tableby function. function and is. Michael Weylandt at Oct 4, 2011 at 7:10 pm. merge() can do everything VLOOKUP can do, and more!. # The function output is all assigned to a single variable, and then from this variable # we can call the desired subcomponents using the familiar dollar sign syntax of R. Your intuition is correct. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Selecting Rows by Partial Name Match in R with 3 comments Over the past 7 or 8 months, I've been relying more heavily on R to do much of my data visualization and analysis. # This is concise, organized and lets use avoid having to separately implement a set of 2-3. Hi there, I've been struggling with this one for a while. In R, you can view a function's code by typing the function name without the ( ). I have a data frame which is a collection of tweets, I want to find the sum of the matches for one of the columns against another dataframe I'm using to lookup. This is important from a workflow efficiency perspective: more than half of a data analyst’s time can be spent re-formatting datasets (H. grep, grepl, regexpr, gregexpr and regexec search for matches to argument pattern within each element of a character vector: they differ in the format of and amount of detail in the results. I get the following error: Error: could not find function “order_by” Any comments as to why this is happening? Thank you. xlsx format. It can be easily translated in data. Closed pwalaszek opened this issue Apr 23, 2015 · 1 comment Closed Rowwise doesn't work with grepl #1099. grepl(), which returns TRUE when a pattern is found in the corresponding character string. Skip navigation Sign in. grep: Pattern Matching and Replacement Description Usage Arguments Details Value Warning Performance considerations Source References See Also Examples Description. The grepl R function searches for matches of certain character pattern in a vector of character strings and returns a logical vector indicating which elements of the vector contained a match. In developing the tableby() function, the goal was to bring the best features of these macros into an R function. Loading Unsubscribe from Dragonfly Statistics? Cancel Unsubscribe. base::grep for the default grep and grepl methods. I usually use any and all to check logical statements applied across a vector, check for NA values, or to examine a vector of logical values. A lot of packages in various fields make it really powerful. Regular Expressions in R. problems with grepl My problem is that I cannot really find a thorough explanation of what syntax R's grep functions are using, some texts say it is close to. However, the task was not simply to duplicate all the functionality, but rather to make use of R's strengths (modeling, method dispersion, flexibility in function definition and output format) and make a tool that fits the needs. From: r-help-bounces at r-project. Home » R » R : Character Functions This tutorial explains some of the most useful string or character functions in R. x an R object which can be coerced to a u_char vector of Unicode characters via as. 0 Description A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. Active 6 years, 3 months ago. bar for new way to extract y range # 2018-03-26 CJS fixed plot. To bring some light into the dark of the R jungle, I’ll provide you in the following with a (very incomplete) list of some of the most popular and useful R functions. ind objects a few lines above. Is it possible to use an AND operator in grepl()? I would expect both of these results to be picked up by the grepl() function Possible duplicate of r- grepl. lapply: Apply a Function over a List or Vector Description Usage Arguments Details Value Note References See Also Examples Description.