r4ds | R for data science : a book

 by   hadley R Version: first-ed License: Non-SPDX

kandi X-RAY | r4ds Summary

kandi X-RAY | r4ds Summary

r4ds is a R library typically used in Data Science applications. r4ds has no bugs, it has no vulnerabilities and it has medium support. However r4ds has a Non-SPDX License. You can download it from GitHub.

R for data science: a book

            kandi-support Support

              r4ds has a medium active ecosystem.
              It has 3989 star(s) with 3905 fork(s). There are 217 watchers for this library.
              It had no major release in the last 12 months.
              There are 15 open issues and 486 have been closed. On average issues are closed in 6 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of r4ds is first-ed

            kandi-Quality Quality

              r4ds has 0 bugs and 0 code smells.

            kandi-Security Security

              r4ds has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              r4ds code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              r4ds has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              r4ds releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 21 lines of code, 0 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            r4ds Key Features

            No Key Features are available at this moment for r4ds.

            r4ds Examples and Code Snippets

            No Code Snippets are available at this moment for r4ds.

            Community Discussions


            create multiple cross tables with one-line code function with gtsummary
            Asked 2022-Mar-28 at 16:24

            i'm having the following problem:

            Context: I'm using gtsummary to explore frequencies in a dataframe using cross variables.

            Here's my desire output:

            So that i have a main variable tobgp and its cross by multiple variables like agegp and algp

            Attempt: this is what i've done so far. Using the esoph data from the package The R Datasets Package (datasets).



            Answered 2022-Mar-28 at 15:29

            you are pretty close and only needed a few modifications. the major change is adding in an lapply() to loop through the vars input to create a list of tbl_summary objects. Then I create the tab spanner names from the inputs of vars and append the t0 table to the list created by the lapply(). then you can pass tlist2 to tbl_merge() with the names created with tabspannername to dynamically label the tables.

            Source https://stackoverflow.com/questions/71632242


            How to transfer my files to R Projects, and then to GitHub?
            Asked 2022-Mar-20 at 07:25

            I have 3 r scripts;

            1. data1.r
            2. data2.r
            3. graph1.r

            the two data files, run some math and generate 2 separate data files, which I save in my working directory. I then call these two files in graph1.r and use it to plot the data.

            How can I organise and create an R project which has;

            • these two data files - data1.r and data2.r
            • another file which calls these files (graph1.r)
            • Output of graph1.r

            I would then like to share all of this on GitHub (I know how to do this part).

            Edit -

            Here is the data1 script



            Answered 2022-Mar-20 at 07:25

            I have broken my answer into three parts:

            • The question in your title
            • The reworded question in your text
            • What I, based on your comments, believe you are actually asking
            How to transfer my files to R Projects, and then to GitHub?

            From RStudio, just create a new project and move your files to this folder. You can then initialize this folder with git using git init.

            How would [my included code] need to be executed inside a project?

            You don't need to change anything in your example code. If you just place your files in a project folder they will run just fine.

            An R project mainly takes care of the following for you:

            • Working directory (it's always set to the project folder)
            • File paths (all paths are relative to the project root folder)
            • Settings (you can set project specific settings)

            Further, many external packages are meant to work with projects, making many task easier for you. A project is also a very good starting point for sharing your code with Git.

            What would be a good workflow for working with multiple scripts in an R project?

            One common way of organizing multiple scripts is to make a new script calling the other scripts in order. Typically, I number the scripts so it's easy to see the order to call them. For example, here I would create 00_main.R and include the code:

            Source https://stackoverflow.com/questions/71538738


            Using the broom::tidy to add confidence intervals to linear models in nested data frame
            Asked 2022-Feb-09 at 10:27

            I've been trying follow the approach set out by Hadley Wickham for running multiple models in a nested data frame as per https://r4ds.had.co.nz/many-models.html

            I've managed to write this code below to create the multiple linear models:



            Answered 2022-Feb-09 at 10:25

            You have to specify the relevant arguments inside map. There are two possibilities:

            Source https://stackoverflow.com/questions/71047639


            How to fill (color) bars in a bar chart a different color within the bar itself up to a certain number?
            Asked 2021-Dec-30 at 21:46
            groups <- data.frame(group = c("A", "B"),
                                            Reels = c(155, 343),
                                            Fish = c(41, 221))
            groups %>% 
              ggplot(aes(x = group, y = Reels)) + 
              geom_col() +
                x = "Group",
                y = "Count"


            Answered 2021-Dec-30 at 21:35

            Try this, with a text label thrown in for good measure:

            Source https://stackoverflow.com/questions/70536815


            Check if file is in a folder with a certain name before proceeding
            Asked 2021-Nov-14 at 11:33

            So, I have this simple script which converts videos in a folder into a format which the R4DS can play.



            Answered 2021-Nov-14 at 11:33

            You cannot use -name because the search is on the path now. My first solution was:

            Source https://stackoverflow.com/questions/69955455


            "map" function repeats on first match in tibble, not returning new value for each row
            Asked 2021-Oct-08 at 20:59

            Earlier, I asked how to create [global environment objects from a tibble 1, which I have been able to do.

            Now, I want to take the objects generated from the tibble to use in a function similar to this:



            Answered 2021-Oct-08 at 20:59

            We may get those objects from the global env with mget, stack it to a two column data.frame

            Source https://stackoverflow.com/questions/69501461


            Replace pattern at end of a string by pattern at the beginning
            Asked 2021-Sep-17 at 08:34

            I'm very new to regular expressions, so my apologies if this is an obviously stupid question.

            Suppose I have a string of the form (c"fair*", "beaut*") and I want to replace the asterisk (*) at the end by a caret (^) at the beginning: c("^fair", "^beaut"). How could I go about doing that using stringr? I have read this excellent introduction to regexp, but did not figure it out. I made several attempts with stringr::str_replace_all(), to no avail. The issue seems to be that the replacement in stringr::str_replace_all() can't be a regexp. Is that so? If yes, is there any other way to do this?



            Answered 2021-Sep-15 at 21:37


            Trying to render R4DS to pdf
            Asked 2021-Jun-24 at 01:15

            When I try to render the latest version of the book R for Data Science (R4DS), I get as far as LaTeX compilation, then am stopped by the following error message.



            Answered 2021-Jun-24 at 01:15

            It looks like I "solved" the problem by changing an option in the _common.R file from crayon.enabled=TRUE to crayon.enabled=FALSE. This removed the ANSI escape sequences from the book. Previously I had tried setting options(crayon.enabled=FALSE) in my R session, but this was evidently being overridden by the setting in _common.R.

            Source https://stackoverflow.com/questions/68089263


            What is the Base R equivalent of this dplyr group_by code?
            Asked 2021-Jun-10 at 18:08

            The R4DS book has the following code block:



            Answered 2021-Jun-10 at 18:08

            We could use proportions on the table output after subsetting to remove the NA (complete.cases) and selecting the columns

            The data is from forcats package. So, load the package and get the data

            Source https://stackoverflow.com/questions/67926231


            How can expressions of the form "A" = "a", "B" = "b", etc be constructed automatically from LETTERS and letters?
            Asked 2021-Jun-04 at 23:51

            I was recently reading a solution to an R4DS exercise. It includes the code:



            Answered 2021-Jun-04 at 19:52

            with the letters/LETTERS, use

            Source https://stackoverflow.com/questions/67843220

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install r4ds

            You can download it from GitHub.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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