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r glue mutate application

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

    2018-9-19 · It works simply as: dataset %>% rowwise %>% mutate (r=as.character (glue (caption))) #Source: local data frame [3 x 4] #Groups: ## A tibble: 3 x 4 # part1 part2 caption r # #1 a x {part1} {part2} a x #2 b y {part2} {part1} y b #3 c z {part2} {part1} {part2} z c z.

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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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  • GitHub - tidyverse/glue: Glue strings to data in R.

    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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  • glue function - R Documentation and manuals | R

    2017-10-29 · glue Overview Installation Usage Variables can be passed directly into strings. Long strings are broken by line and concatenated together. Named arguments are used to assign temporary variables. glue_data() is useful with magrittr pipes. Or within dplyr pipelines Leading whitespace and blank lines from the first and last lines are automatically trimmed. An additional newline can be used if you ...

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  • Format and interpolate a string with glue — str_glue •

    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.

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  • Format and interpolate a string — glue • glue

    2021-1-6 · Format and interpolate a string. Source: R/glue.R. glue.Rd. Expressions enclosed by braces will be evaluated as R code. Long strings are broken by line and concatenated together. Leading whitespace and blank lines from the first and last lines are automatically trimmed.

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  • dplyr/mutate.R at master · tidyverse/dplyr · GitHub

    dplyr/R/mutate.R. Loading status checks…. #' `transmute ()` adds new variables and drops existing ones. #' New variables overwrite existing variables of the same name. #' Variables can be removed by setting their value to `NULL`. #' yield different results on grouped tibbles. This will be the case. #' involved.

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  • r - Use dynamic variable names in `dplyr` - includeStdio

    更加详细说明glue-redux的原理 实践说明 处理异步问题以及如何组织代码 react-glux 与react的连接库,HOC方式 react-glue-redux-hook 与react的连接库,包含HOC和hook两种方式 设计一个前端数据模型,让数据操作更简单可靠 代码结构设计说明

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  • 14 Tidy evaluation | Functional Programming

    我正在尝试使用glue::glue函数在数据集中创建一个“label”列。我希望这个label列的每一行都包含user-selected列的值。例如,使用mtcars数据集,我想创建一个label列,将车辆名称和我选择的另一列的值粘在一起。对一个显式定义的列这样做是可以的;我只是直接将列的名称放在glue函数中(参见下面的mpg ...

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  • How to use mutate and across with a dynamic column ...

    2021-3-5 · I'm trying to mutate several columns whose column names have the same prefix and a number as suffix. Each column is mutated based on a value in another column with the corresponding suffix in its name. I can run mutate using each pair of columns explicitly. However, I'd prefer, if possible, to use a single across operation, but can't figure out how to make it work. Below is an example: In the ...

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  • Format and interpolate a string — glue • glue

    2021-1-6 · Format and interpolate a string. Source: R/glue.R. glue.Rd. Expressions enclosed by braces will be evaluated as R code. Long strings are broken by line and concatenated together. Leading whitespace and blank lines from the first and last lines are automatically trimmed.

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  • r - Use dynamic variable names in `dplyr` - includeStdio

    2021-1-2 · The Question : 184 people think this question is useful I want to use dplyr::mutate() to create multiple new columns in a data frame. The column names and their contents should be dynamically generated. Example data from iris: I’ve created a function to mutate my new columns from the Petal.Width variable: Now I create a […]

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  • mutate() evaluation error: Index must have length 1 ...

    2020-4-3 · df <- df %>% group_by(segment) %>% mutate( !!paste0('MeanSum',quo_name(nameVarPeriod1)) := mean(!!as.name(paste0('Sum',quo_name(nameVarPeriod1))))) dplyr 1.0.0 alternative: Using the new across function in dplyr 1.0.0 (currently only on github remotes::install_github('tidyverse/dplyr') we can set names using glue …

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  • paste & paste0 R Functions (4 Example Codes) |

    2018-9-24 · yutannihilation commented on Sep 24, 2018. This is a bit complicated; tidy in tidy2 = map (mod, tidy) is translated as tidy column in the data, not tidy (), and map () treats the second argument as the accessor to elements if it is list, even if the objects in the list cannot be used for the index. library ( tidyverse ) d <- iris % > % group_by ...

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  • Tutorial: Sentiment Analysis in R | Kaggle

    Sentiment analysis is the computational task of automatically determining what feelings a writer is expressing in text. Sentiment is often framed as a binary distinction (positive vs. negative), but it can also be a more fine-grained, like identifying the specific emotion an author is …

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  • Exceptions and debugging · Advanced R.

    2019-8-8 · A prototype of a condition system for R by Robert Gentleman and Luke Tierney. This describes an early version of R’s condition system. While the implementation has changed somewhat since this document was written, it provides a good overview of how the pieces fit together, and some motivation for its design.

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  • R encountered a fatal error.The session was

    2019-6-10 · The dataset is not that big per se, but maybe your code or the packages you are using are not very memory efficient, the thing is that very likely you are running out of RAM memory.

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  • How to use mutate in R - Sharp Sight

    The documentation indicates that the package currently only supports a fairly limited subset of Markdown, HTML, and CSS, but it already looks pretty formidable – the examples include being able to use images as labels for a discrete axis, which is pretty interesting. It feels like it’ll need a lot of mutate() and glue() calls in the workflow, like I used above, but that’s not much of an ...

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  • Formatting With ggtext Example | R-bloggers

    library(glue) source(' helpers.R ') # Builds theme object to be supplied to ui: my_theme <-bs_theme(bootswatch = ' cerulean ', base_font = font_google(' Righteous ')) % > % bs_add_rules(sass:: sass_file(' styles.scss ')) # Let thematic know to use the font from bs_lib: thematic_shiny(font = ' auto ') # We have an already build station to city ...

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  • shiny_app_stories/app.R at master · rstudio/shiny_app ...

    2021-6-20 · Defines functions app_server. #' The application server-side #' #' @param input,output,session Internal parameters for {shiny}. #' DO NOT REMOVE. #' @import shiny #' @import dplyr #' @import ggplot2 #' @importFrom reactable colDef colFormat colGroup #' @importFrom forcats fct_rev fct_inorder fct_reorder fct_infreq fct_inseq #' @importFrom glue ...

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  • SGLCY/ImproRisk source: R/app_server.R

    2019-8-8 · A prototype of a condition system for R by Robert Gentleman and Luke Tierney. This describes an early version of R’s condition system. While the implementation has changed somewhat since this document was written, it provides a good overview of how the pieces fit together, and some motivation for its design.

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  • Exceptions and debugging · Advanced R.

    2021-5-31 · Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors. Structural Equation Modeling, 17(2), 193-215. Hallquist, M. N., & Wiley, J. F. (2018). MplusAutomation: An R Package for …

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  • mlca-replication.utf8 - GitHub Pages

    2019-12-13 · Chapter 40 Plotting Maps with R: An Example-Based Tutorial. Jonathan Santoso and Kevin Wibisono. In this short tutorial, we would like to introduce several different ways of plotting choropleth maps, i.e. maps which use differences in shading, colouring, or the placing of symbols within areas to indicate a particular quantity associated with each area, using R.

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  • Chapter 40 Plotting Maps with R: An Example-Based

    2020-9-27 · Package ‘numform’ September 27, 2020 Title Tools to Format Numbers for Publication Version 0.6.4 Maintainer Tyler Rinker

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  • Package ‘numform’ - The Comprehensive R Archive

    2021-6-18 · Basic usage. across() has two primary arguments: The first argument, .cols, selects the columns you want to operate on.It uses tidy selection (like select()) so you can pick variables by position, name, and type.. The second argument, .fns, is a function or list of functions to apply to each column.This can also be a purrr style formula (or list of formulas) like ~ .x 2.

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  • Advanced Plots with str_glue() - Exploring Data

    2020-5-3 · Let’s Dive Into an Example. I’d like to share a technique using str_glue() that I learned from Matt Dancho, a Data-Science instructor at Business Science University.Check out my favorite course here: Business Analysis With R. str_glue() from the stringr library is one of my favorite functions in R - It’s super helpful for wrangling and manipulating text in preparation for building ...

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  • glue source: R/glue.R - R Package Documentation

    2021-6-15 · Documented in as_glue collapse glue glue_collapse glue_data trim. #' Format and interpolate a string #' #' Expressions enclosed by braces will be evaluated as R code. Long strings are #' broken by line and concatenated together. Leading whitespace and blank lines #' from the first and last lines are automatically trimmed. #' #' @param .x ...

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  • Data Wrangling - A foundation for wrangling in R

    data frames. R displays only the data that fits onscreen: dplyr::glimpse(iris) Information dense summary of tbl data. utils::View(iris) View data set in spreadsheet-like display (note capital V). Source: local data frame [150 x 5] Sepal.Length Sepal.Width Petal.Length 1 5.1 3.5 1.4 2 4.9 3.0 1.4

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  • Chapter 9 Phylogenetic data | sars2pack:

    2020-3-25 · (dplyr)使用mutate(),case_when()和which()时出错 由 无邪 发布于 2020-03-25 22:06:41 date r dplyr 收藏 在以下情况下需要帮助以解决错误/警告: 我有一个带有观察日期的数据框和此类日期的向量。我想在 ...

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  • To mutate, or immutate, that is the question -

    2020-12-30 · Singer, Joshua, Robert Gifford, Matthew Cotten, and David Robertson. 2020. “CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation.”

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  • Gantt charts in R - GitHub Pages

    2019-6-13 · To mutate, or immutate, that is the question. June 13, 2019 9 min read 2742. This is the second post in the not all compilers are created equal series, in which we compare TypeScript (TS) and PureScript (PS), two statically typed languages that compile to JavaScript (JS). In the first post, we introduced both languages and explained their ...

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  • Model Interpretability with DALEX · UC Business

    2017-9-20 · Gantt charts. Gantt charts are a very useful way to organize projects into milestones and tasks visually. They are also dead useful when comes the time to create a timeline for a project, whether it be for a research project, field work or grant applications.

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  • Home [opus1993.github.io]

    2020-3-4 · DALEX procedures. The DALEX architecture can be split into three primary operations:. Any supervised regression or binary classification model with defined input (X) and output (Y) where the output can be customized to a defined format can be used.The machine learning model is converted to an “explainer” object via DALEX::explain(), which is just a list that contains the training data and ...

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  • alphavantager/av_get.R at master · business-science ...

    2021-4-13 · The command set.seed (20200907) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible. Great job! Recording the operating system, R …

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  • A TCGA dataset application - Bioconductor

    2020-11-26 · Colaprico, Antonio, Tiago C Silva, Catharina Olsen, Luciano Garofano, Claudia Cava, Davide Garolini, Thais S Sabedot, et al. 2015. “TCGAbiolinks: An R/Bioconductor Package for Integrative Analysis of Tcga Data.” Nucleic Acids Research 44 (8): e71–e71.

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  • Presence of mismatches between diagnostic PCR

    2020-6-10 · The application of this strategy on 27 previously developed assays using 17 027 viral sequences showed mutations/mismatches in primer/probe binding regions of seven assays. This information will act as a reference and may help re-evaluate COVID-19 diagnostic strategies.

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  • Chapter 3 The Tidyverse | R for Data Engineers

    2021-1-11 · The simplest tool for this in R is lm, which stands for “linear model”. Given a formula and a data set, it calculates coefficients to fit that formula to that data: lm (estimate ~ lo, data = infant_hiv) Call: lm (formula = estimate ~ lo, data = infant_hiv) Coefficients: (Intercept) lo 0.0421 1.0707.

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  • LD Part 1 | Sina Rüeger

    2019-5-21 · LD is estimated from Phase 3 of the 1000 Genomes Project and super- and subpopulations can be selected. There are different ways to access the LD estimations (e.g. LDpair, LDmatrix, LDproxy) and the same modules are also available through the API. To access the API, you need to register for a token (takes a few seconds).

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  • Extracting JSON data from websites and public APIs

    2020-12-13 · Alternatively, we can Right Click + inspect the site, go to the Network tab, reload the site and see what sources are loaded. Again, FiveThirtyEight is very kind and essentially just loads the JSON as data.json. I have screenshots below of each item, and …

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  • Tutorial: Sentiment Analysis in R | Kaggle

    2021-5-19 · Chapter 10 文字與字串資料處理. Chapter 10. 文字與字串資料處理. 傳統上, 統計人員較少直接處裡文字或字串資料, 多數時候是由資料管理人元處理後, 轉換成數值資料, 然後交由統計人員進行後續分析. 由於大數據時代來臨包含者多樣性的資料型態, 統計人員必須必須 ...

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  • Crop Yields - opus1993.github.io

    Sentiment analysis is the computational task of automatically determining what feelings a writer is expressing in text. Sentiment is often framed as a binary distinction (positive vs. negative), but it can also be a more fine-grained, like identifying the specific emotion an author is …

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  • R encountered a fatal error.The session was

    2020-8-31 · Last updated: 2020-10-12 Checks: 7 0 Knit directory: myTidyTuesday This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

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  • PROGENy pathway signatures: Application to Bulk ...

    2021-3-30 · PROGENy pathway signatures. This R package provides the model we inferred in the publication 'Perturbation-response genes reveal signaling footprints in cancer gene expression' and a function to obtain pathway scores from a gene expression matrix. It is available on bioRxiv.

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  • Mutating code annotations: An empirical evaluation

    2020-6-1 · 1. Introduction. Mutation testing , , —also known as program mutation, or simply mutation—is a fault-based testing criterion that has been investigated for more than four decades , and has two main goals: measuring the effectiveness of test suites , , and evaluating the software itself (when faults are revealed during the test process) .The criterion requires the creation of copies of the ...

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  • Chapter 6 Modeling Relative Abundance | Best

    2020-6-24 · 6.2 Data preparation. Let’s start by loading the necessary packages and data. If you created or downloaded the files needed to follow the analyses in the previous chapters, you may want to download the data package and unzip it to your project directory. Because we’re modeling abundance in this chapter, we’ll remove any records for which the observer reported that Wood Thrush was present ...

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  • 1 Introduction | R for Data Science

    1 Introduction. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science.

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  • Chapter 29 Cheat sheet of wordcloud2 package |

    2019-12-13 · Chapter 29. Cheat sheet of wordcloud2 package. Contributor: Yujing Song, Wen Fan Group number: 53. The community contribution for our team is working on creating a cheat sheet of wordcloud2 package in r. Our work is divided into two parts, one is for the word could package general introduction and text adjustment, the other part is for the word ...

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  • Text classification modelling with tidyverse, SVM vs ...

    2020-6-7 · It’s been a while since I wrote something, years actually, but here we go. Modelling is at the core of statistical learning, it allows us to make use of different techniques usually to predict, classify or find pattern within a particular dataset. USually the workflow involves a preprocessing with several tecniques and decision, such as imputation, omitting na, normalization, centering, and ...

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  • Image clustering with Keras and k-Means

    2019-7-26 · 代码的书写原则 写可读的代码 (王垠 2015),不要冗长的解释,因为这实际上在增加使用者的阅读量,这是管道代码的主要优点。 尽量使用#隐去中间过程的代码,这样即省略了中间变量的设立,也让使用者理解开发者的用意 使用 pipeline 或者中间变量 2,方便大家理解代码。

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  • GitHub - uhub/awesome-r: A curated list of awesome

    2020-7-20 · 資料科學與R語言. 曾意儒 Yi-Ju Tseng. 2020-07-20. 本書介紹如何使用 R語言 完成資料讀取 (檔案、透過API擷取或爬蟲)、資料清洗與處理、探索式資料分析、資料視覺化、互動式資料呈現 (搭配Shiny) 與資料探勘等,並介紹R與Hadoop Ecosystems介接方法。. 資料探勘章節尚未 ...

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  • How to Merge Two Columns in R : Data Manipulation

    2019-4-27 · Below I will show an example of the usage of popular R base command paste(). Application. Below are the steps we are going to take to make sure we do master the skill of merging two columns in R: Basic paste() command description; Loading the training_names.csv file into R; Merging two columns (“first_name” and “last_name)” Part 1.

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  • 1 Introduction | R for Data Science

    1 Introduction. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science.

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  • 26 Survey analysis | The Epidemiologist R Handbook

    2021-6-29 · 26.1 Overview. This page demonstrates the use of several packages for survey analysis. Most survey R packages rely on the survey package for doing weighted analysis. We will use survey as well as srvyr (a wrapper for survey allowing for tidyverse-style coding) and gtsummary (a wrapper for survey allowing for publication ready tables). While the original survey package does not allow for ...

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  • Real time data visualization using R and data

    2019-6-19 · Created on 2019-06-20 by the reprex package (v0.2.1). I have the two tables below. I am expecting two files to be written to csv file format but i cannot not see anything.

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  • Using sparklyr in Databricks R Notebooks - Databricks

    2019-11-13 · Using sparklyr in Databricks R Notebooks. In this notebook we show how you can use sparklyr in Databricks notebooks. NOTE: You need a cluster running Apache Spark 2.2+ and Scala 2.11 to use sparklyr in Databricks.

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  • Chapter 41 Different Ways of Plotting U.S. Map in R ...

    2019-12-13 · First, we get U.S. map data. In R, there are packages named maps and mapdata which save a lot of map information, for instance, continents, countries and states. We can use their data directly by using map_data function in ggplot2 package. Package (s) we need: library (ggplot2) library (maps) library (mapdata) usa <- map_data ( 'usa')

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  • EDA - Diving into Home Credit data | Kaggle

    4.2 Bureau balance. The bureau balance file contains around 817k unique bureau ids, of which 43k are not in the Bureau table, which means that only 45% of the Credit Bureau data has some balance data. This is interesting to note that while 36% of Credit Bureau data have balance data on train applications, almost 100% have balance data on test ...

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  • 8 JAGS brms | Doing Bayesian Data Analysis in brms

    2021-5-19 · 8.2.3 Initialize chains.. In Stan, and in brms by extension, the initial values have default settings. In the Initialization section of the Program Execution chapter in the Stan reference manual, Version 2.26 (Stan Development Team, 2021a) we read:. If there are no user-supplied initial values, the default initialization strategy is to initialize the unconstrained parameters directly with ...

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  • 13 Models With Memory | Statistical rethinking with

    2021-5-19 · 13.1.0.1 Rethinking: Varying intercepts as over-dispersion.. In the previous chapter (), the beta-binomial and gamma-Poisson models were presented as ways for coping with over-dispersion of count data.Varying intercepts accomplish the same thing, allowing count outcomes to be over-dispersed. They accomplish this, because when each observed count gets its own unique intercept, but these ...

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  • 3 Process AC:NH data | Video game play is positively ...

    2020-12-16 · 3.1 Raw data. This script expects the raw data files to be in data-raw/noa/. The raw telemetry and survey files are in a zip compressed file on OSF: https://osf.io/cjd6z/. Below, we provide code that downloads and unpacks these files. The raw survey data was edited to exclude test sessions, any data from individuals who did not consent below ...

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  • How to combine multiple plots in R with cowplot and ...

    2021-4-30 · How to combine multiple plots in R with cowplot and ggplot2 (CC098) April 30, 2021 • PD Schloss • 9 min read • •

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  • shiny_app_stories/app.R at master · rstudio/shiny_app ...

    library(glue) source(' helpers.R ') # Builds theme object to be supplied to ui: my_theme <-bs_theme(bootswatch = ' cerulean ', base_font = font_google(' Righteous ')) % > % bs_add_rules(sass:: sass_file(' styles.scss ')) # Let thematic know to use the font from bs_lib: thematic_shiny(font = ' auto ') # We have an already build station to city ...

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  • mlca-replication.utf8

    2021-5-31 · Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors. Structural Equation Modeling, 17(2), 193-215. Hallquist, M. N., & Wiley, J. F. (2018). MplusAutomation: An R Package for …

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  • 패키지(Packages) – 숨은원리 데이터사이언스: R로 하는 ...

    R의 패키지 (Packages) 통계 분석을 위해 프로그래밍 언어로 개발된 R은 통계 프로그래밍을 위한 핵심 기능이 주로 구현되어 있습니다. 하지만 R을 활용하는 분야는 다양해서 R의 기본 함수로 부족한 경우도 많습니다. R의 패키지 는 특정 분야에서 필요한 기능을 ...

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  • How to Merge Two Columns in R : Data Manipulation

    2019-4-27 · Below I will show an example of the usage of popular R base command paste(). Application. Below are the steps we are going to take to make sure we do master the skill of merging two columns in R: Basic paste() command description; Loading the training_names.csv file into R; Merging two columns (“first_name” and “last_name)” Part 1.

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  • Sentiment analysis of Slack reviews using R

    2018-7-24 · The desktop application is a bit slow and it takes time to open it. We use the free version of Slack in our office, only because a user cost is a little bit steep.. but the notifications on mobile app are not real-time which creates a little delay in receiving the …

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  • Tutorial: Sentiment Analysis in R | Kaggle

    Sentiment analysis is the computational task of automatically determining what feelings a writer is expressing in text. Sentiment is often framed as a binary distinction (positive vs. negative), but it can also be a more fine-grained, like identifying the specific emotion an author is …

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  • CRAN Packages By Name - SJTU

    2021-7-3 · An R-Shiny Application for Creating Visual Abstracts: abtest: Bayesian A/B Testing: Ac3net: Inferring Directional Conservative Causal Core Gene Networks: ACA: Abrupt Change-Point or Aberration Detection in Point Series: academictwitteR: Access the Twitter Academic Research Product Track V2 API Endpoint: acc: Exploring Accelerometer Data ...

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  • k-Means 101: An introductory guide to k-Means

    2021-3-14 · What is a k-Means analysis? A k-Means analysis is one of many clustering techniques for identifying structural features of a set of datapoints. The k-Means algorithm groups data into a pre-specified number of clusters, k, where the assignment of points to clusters minimizes the total sum-of-squares distance to the cluster’s mean.We can then use the mean value of all the points in a given ...

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  • PIPING HOT DATA: R-Ladies styled code gifs with

    2021-3-7 · Here are the R code gifs that I shared on twitter during my @WeAreRLadies curating week: walrus operator. mutate_at + vars + matches. mutate + across + matches. haven + gtsummary. named color vectors + scale_color_manual. Other options. During my curating week, I learned about the carbonate package! This also seems like a fantastic option for ...

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  • Mutate filter plugin | Logstash Reference [7.13] | Elastic

    2021-6-24 · The mutate filter allows you to perform general mutations on fields. You can rename, remove, replace, and modify fields in your events. ... If a failure occurs during the application of this mutate filter, the rest of the operations are aborted and the provided tag is added to the event.

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  • Using SQL in RStudio - Rbind

    2020-4-29 · My starting point Previewing SQL in RStudio 1. Preview a .sql file 2. SQL chunks in RMarkdown Passing variables to/from SQL chunks SQL output as a variable Providing query parameters SQL files meet chunks R & SQL – working hand-in-hand In the last year, SQL has wound its way deeper and deeper into my R workflow. I switch between the two every day, but up to now, I’ve been slow …

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  • Welcome to the Tidyverse - theoj.org

    2021-7-1 · goals to R itself, but any comparison to the R Project (R Core Team, 2019) is fundamentally challenging as the tidyverse is written in R, and relies on R for its infrastructure; there is no tidyverse without R! That said, the biggest difference is in priorities: base R is highly focussed

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  • LD Part 1 | Sina Rüeger

    2019-5-21 · LD is estimated from Phase 3 of the 1000 Genomes Project and super- and subpopulations can be selected. There are different ways to access the LD estimations (e.g. LDpair, LDmatrix, LDproxy) and the same modules are also available through the API. To access the API, you need to register for a token (takes a few seconds).

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  • Model Interpretability with DALEX · UC Business

    2020-3-4 · DALEX procedures. The DALEX architecture can be split into three primary operations:. Any supervised regression or binary classification model with defined input (X) and output (Y) where the output can be customized to a defined format can be used.The machine learning model is converted to an “explainer” object via DALEX::explain(), which is just a list that contains the training data and ...

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  • Chapter 11 Leveraging Database Views | Exploring ...

    2020-2-23 · 11.2.1 Why database views are useful. Database views are useful for many reasons.. Authoritative: database views are typically written by the business application vendor or DBA, so they contain authoritative knowledge about the structure and intended use of the database.; Performance: views are designed to gather data in an efficient way, using all the indexes in an efficient sequence …

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  • Creating API requests and handling responses

    2021-7-2 · Creating an API request. The Compute Engine API expects API requests to be in JSON format. To make an API request, you can either make a direct HTTP request, by using tools like curl or httplib2, or you can use one of the available client libraries. When you make an API request that requires a request body, like a POST , UPDATE, or PATCH ...

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  • Binary text classification with Tidytext and caret | Emil ...

    2020-5-1 · the scope of this blog post is to show how to do binary text classification using standard tools such as tidytext and caret packages. One of if not the most common binary text classification task is the spam detection (spam vs non-spam) that happens in most email services but has many other application such as language identification (English vs non-English).

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  • CRAN Packages By Date

    2018-6-1 · Web Application Framework for R : 2018-05-17 : simsalapar: Tools for Simulation Studies in Parallel : 2018-05-17 : sparseIndexTracking: Design of Portfolio of Stocks to Track an Index : 2018-05-17 : streamR: Access to Twitter Streaming API via R : 2018-05-17 : survsim: Simulation of Simple and Complex Survival Data : 2018-05-17 : synchronicity ...

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