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uses of r glue mutate

  • R dplyr: rowwise + mutate (+glue) - how to get/refer

    2019-12-5 · glue包介绍 glue包可用于自定义变量,然后通过传参的方式,对字符串部分内容进行自适应修改。 例如:可将日期赋值为: ,然后通过字符串拼接的形式,实现文件名称自动更新, 。 具体用法 R glue

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  • How to use mutate in R - Sharp Sight

    2018-9-19 · Browse other questions tagged r dplyr mutate rowwise r-glue or ask your own question. The Overflow Blog Podcast 339: Where design meets development at Stack Overflow

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  • glue package - RDocumentation

    glue . Overview. Glue offers interpreted string literals that are small, fast, and dependency-free. Glue does this by embedding R expressions in curly braces which are …

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  • Format and interpolate a string with glue — str_glue •

    2019-12-5 · glue包介绍 glue包可用于自定义变量,然后通过传参的方式,对字符串部分内容进行自适应修改。 例如:可将日期赋值为:date = as.Date('2019-12-05'),然后通过字符串拼接的形式,实现文件名称自动更新,glue('The day is {date}.'。 具体用法 ## glue ...

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  • dplyr package - R Documentation and manuals | R

    2020-8-26 · R dplyr 函数介绍之 mutate(), transmute() 数据分析中,我们最常接触的数据格式为数据框,而对数据框最常见的操作就是添加新的列,这时候我们就可以使用mutate函数来完成相应的工作。 我们演示中使用的数据集为gcookbook里的drunk数据集。

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  • textclean package - RDocumentation

    2021-5-3 · Format and interpolate a string with glue Source: R/glue.R. str_glue.Rd. These functions are wrappers around glue::glue() and glue::glue_data(), which provide a powerful and elegant syntax for interpolating strings. These wrappers provide a small set of the full options. Use the functions directly from glue for more control.

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  • Tidyverse packages

    glue provides an alternative to paste() that makes it easier to combine data and strings. Model Modeling with the tidyverse uses the collection of tidymodels packages, which largely replace the modelr package used in R4DS. These packages provide a comprehensive foundation …

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  • Article - The 5 verbs of dplyr - Getting started | teachR

    2020-9-19 · This article will cover the five verbs of dplyr: select, filter, arrange, mutate, and summarize. ... arrange uses the additional columns to break ties. ... (2, 4, 6, 8) – the c stands for concatenate which basically means to glue 2 to 4 to 6 to 8 all together in one vector.

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  • Chapter 3 The Tidyverse | R for Data Engineers

    2021-1-11 · The answer is that R uses lazy evaluation: function arguments aren’t evaluated until they’re needed, so the function filter actually gets the expression lo > 0.5, which allows it to check that there’s a column called lo and then use it appropriately.

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  • 2 A tidyverse primer | Tidy Modeling with R

    2 A tidyverse primer. The tidyverse is a collection of R packages for data analysis that are developed with common ideas and norms. From Wickham et al. (): “At a high level, the tidyverse is a language for solving data science challenges with R code.

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  • Spelunking macOS ‘ScreenTime’ App Usage with R |

    2019-10-28 · That visual schema was created in OmniGraffle via a small R script that uses the OmniGraffle automation framework. The OmniGraffle source files are also available upon request. Most of the interesting bits (for any tracking-related spelunking) are in the ZOBJECT table and to get a full picture of usage we’ll need to join it with some other tables that are connected via a few foreign keys:

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  • dplyr package - R Documentation and manuals | R

    mutate() adds new variables that are functions of existing variables; select() picks variables based on their names. filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows.

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  • Data Wrangling in R with the Tidyverse (Part 2)

    mutate_at(), rename_at(): uses vars() to select specic variables to apply a function to i.e. mutate_at(vars(SELECT), FUNCTION, FUNCTION_ARGUMENTS) # mutate_at changes the data in specified columns demo_data %>% mutate_at(vars(contains('race'), sex), as.factor) %>% head(2) # A tibble: 2 x 8 record age sex grade race4 race7 bmi stweight

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  • Mutate Organic | BOOM Library | Biological Mutation

    MUTATE ORGANIC nails the sounds we set out to achieve, but can be used for so much more, due to many of its abstract elements. As a result for us, and hopefully for you too, it will tag along as a faithful companion for many sound design projects to come.

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  • Spelunking macOS ‘ScreenTime’ App Usage with R | R

    2019-10-28 · That visual schema was created in OmniGraffle via a small R script that uses the OmniGraffle automation framework. The OmniGraffle source files are also available upon request. Most of the interesting bits (for any tracking-related spelunking) are in the ZOBJECT table and to get a full picture of usage we’ll need to join it with some other tables that are connected via a few foreign keys:

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  • 5 Transform Lists and Vectors | The Tidyverse Cookbook

    2020-7-20 · A vector is a one dimensional array of elements. Vectors are the basic building blocks of R. Almost all data in R is stored in a vector, or even a vector of vectors. A list is a recursive vector: a vector that can contain another vector or list in each of its elements. Lists are one of the most flexible data structures in R.

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  • Data Wrangling - A foundation for wrangling in R

    2020-8-27 · So you want to compete in a kaggle competition with R and you want to use tidymodels. In this howto I show how you can use lightgbm (LGBM) with tidymodels. I give very terse descriptions of what the steps do, because I believe you read this post for implementation, not ...

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  • Data Wrangling in R with the Tidyverse (Part 2)

    Summarise uses summary functions, functions that take a vector of values and return a single value, such as: Mutate uses window functions, functions that take a vector of values and return another vector of values, such as: window function summary function dplyr::first First value of a vector. dplyr::last Last value of a vector. dplyr::nth

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  • Live Free or Dichotomize - Building a data-driven CV

    2019-9-4 · Glue works by allowing you to write your output string in a natural template format. You tell R where you want each variable placed by writing the variable name wrapped in curly braces in the desired position in your template. Then when glue() evaluates, it pastes the values of each variable into its respective curly-braced location.

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  • dplyr package - R Documentation and manuals | R

    mutate() adds new variables that are functions of existing variables; select() picks variables based on their names. filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows.

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  • 14 Basics | Functional Programming - Stanford

    mpg %>% mutate (drv = recode (drv, 'f' = 'front', 'r' = 'rear', '4' = 'four')) #> # A tibble: 234 x 11 #> manufacturer model displ year cyl trans drv cty hwy fl class #> #> 1 audi a4 1.8 1999 4 auto(l5) front 18 29 p compa… #> 2 audi a4 1.8 1999 4 manual(m5) front 21 29 p compa ...

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  • Chapter 3 Licenses in the R World | Licensing R

    2019-12-19 · Chapter 3 Licenses in the R World. Disclaimer: This book is by no mean a legal book and should not be used as such. This book aims at helping you decipher the complexity of open source licenses, but if you have legal concerns and questions about open source licenses, please refer to a professional lawyer.

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  • rqog-package for R • rqog

    2021-1-30 · The data rqoq imports to R is in .csv-format without the labels and names shipped together with spss or Stata formats. As such it is the desired format to work with in R, especially with numeric indicators. However, many of the indicators in QoG are factors meaning that they have discrete values with a corresponding label.

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  • Functions and functional programming

    2021-5-6 · class: center, middle, title-slide # Functions and functional programming ### Claus O. Wilke ### last updated: 2021-05-05 --- ## We often have to run similar code multiple times -

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  • Quasiquotation in R via bquote() – Win Vector LLC

    2018-10-16 · Quasiquotation in R via bquote() By jmount on October 16, 2018 • ( 2 Comments). In August of 2003 Thomas Lumley added bquote() to R 1.8.1. This gave R and R users an explicit Lisp-style quasiquotation capability.bquote() and quasiquotation are actually quite powerful. Professor Thomas Lumley should get, and should continue to receive, a lot of credit and thanks for introducing the …

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  • Recreate - Sankey flow chart | Emil Hvitfeldt

    2020-5-1 · The goal - A flowing sankey chart from nytimes. In this excellent article Extensive Data Shows Punishing Reach of Racism for Black Boys by NYTimes includes a lot of very nice charts, both in motion and still. The chart that got biggest reception is the following: (see article for moving picture) We see a animated flow chart that follow the style of the classical Sankey chart.

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  • How to do Optical Character Recognition (OCR) of

    2017-7-17 · One of the many great packages of rOpenSci has implemented the open source engine Tesseract.. Optical character recognition (OCR) is used to digitize written or typed documents, i.e. photos or scans of text documents are “translated” into a digital text on your computer.

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  • Chapter 11 Leveraging Database Views | Exploring ...

    2020-2-23 · 11.2 The role of database views. A database view is an SQL query that is stored in the database. Most views are used for data retrieval, since they usually denormalize the tables involved. Because they are standardized and well-understood, they can save you a lot of work and document a query that can serve as a model to build on.

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  • Data Wrangling - A foundation for wrangling in R

    Summarise uses summary functions, functions that take a vector of values and return a single value, such as: Mutate uses window functions, functions that take a vector of values and return another vector of values, such as: window function summary function dplyr::first First value of a vector. dplyr::last Last value of a vector. dplyr::nth

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  • Chapter 19 Databases | STA 444/5 - Introductory Data ...

    2021-5-19 · The solution is to use the glue package which is facilitates squishing together character strings. The glue::glue_sql() function uses the input connection to decide what the appropriate SQL quotation syntax is. The curly brackets tell glue that we want to work with R …

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  • An introduction to R using the tidyverse - EMBL

    2017-5-12 · [1] 8 10 11. Two particularly useful functions worth remembering are length, which returns the length of a vector (i.e. the number of elements it contains) and sum which calculates the sum of the elements of a vector. R also has basic calculator capabilities: a+b, a-b, a*b, a**b (a to the power of b); additionally: sqrt(a), sin(a) … and some simple statistics:

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  • Why I love dplyr's across - Will Hipson

    Very often I find myself in a situation where I need to perform the same operation on multiple columns in a data set. For this, I turn to none other than dplyr’s across function. But as we’ll see, not only does across help when we are interactively wrangling data, it also operates seamlessly within R functions. Here, I’ll showcase a few simple use cases for across.

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  • rqog-package for R • rqog

    2021-1-30 · The data rqoq imports to R is in .csv-format without the labels and names shipped together with spss or Stata formats. As such it is the desired format to work with in R, especially with numeric indicators. However, many of the indicators in QoG are factors meaning that they have discrete values with a corresponding label.

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  • Introduction to Fama French · R Views

    2018-4-11 · In two previous posts, we calculated and then visualized the CAPM beta of a portfolio by fitting a simple linear model. Today, we move beyond CAPM’s simple linear regression and explore the Fama French (FF) multi-factor model of equity risk/return. For more background, have a look at the original article published in The Journal Financial Economics, Common risk factors in the returns on ...

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  • Pivot data from long to wide — pivot_wider • tidyr

    2021-3-3 · names_glue: Instead of names_sep and names_prefix, you can supply a glue specification that uses the names_from columns (and special .value) to create custom column names. names_sort: Should the column names be sorted? If FALSE, the default, column names are …

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  • Ch. 14: Strings | Yet another ‘R for Data Science’ study

    2020-8-21 · react apolloIf you want to build apps with React and GraphQL, Apollo is the library you should use. 如果要使用React和GraphQL构建应用程序,则应使用Apollo库。 I've put together a comprehensive cheatsheet that goes throu...

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