tibble | A modern re-imagining of the data frame | Data Visualization library

 by   tidyverse R Version: v3.1.8 License: Non-SPDX

kandi X-RAY | tibble Summary

kandi X-RAY | tibble Summary

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

A tibble, or tbl_df, is a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. Tibbles are data.frames that are lazy and surly: they do less (i.e. they don’t change variable names or types, and don’t do partial matching) and complain more (e.g. when a variable does not exist). This forces you to confront problems earlier, typically leading to cleaner, more expressive code. Tibbles also have an enhanced print() method which makes them easier to use with large datasets containing complex objects. If you are new to tibbles, the best place to start is the tibbles chapter in R for data science.
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            kandi-support Support

              tibble has a low active ecosystem.
              It has 597 star(s) with 122 fork(s). There are 33 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 687 have been closed. On average issues are closed in 288 days. There are 13 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tibble is v3.1.8

            kandi-Quality Quality

              tibble has no bugs reported.

            kandi-Security Security

              tibble has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              tibble 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

              tibble releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            tibble Key Features

            No Key Features are available at this moment for tibble.

            tibble Examples and Code Snippets

            No Code Snippets are available at this moment for tibble.

            Community Discussions

            QUESTION

            How to create new rows based on data from a different table (R)
            Asked 2021-Jun-15 at 23:17

            So, if I had a data table like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:07

            One solution is to use tidyverse functions group_by() and summarise():

            Source https://stackoverflow.com/questions/67994439

            QUESTION

            How to use a generic method to remove outliers only if they exist in R
            Asked 2021-Jun-15 at 19:58

            I am using a method to remove univariate outliers. This method only works if the vector contains outliers.

            How is it possible to generalize this method to work also with vectors without outliers. I tried with ifelse without success.

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:58

            Negate (!) instead of using - which would work even when there are no outliers

            Source https://stackoverflow.com/questions/67992709

            QUESTION

            why doesn't nest_by replicate this typical group_by & nest pipeline?
            Asked 2021-Jun-15 at 19:23

            A typical way to use group_by and then nest is to estimate a series of models--

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:23

            We can add ungroup in between as the nest_by returns with rowwise attribute which clashes with the map

            Source https://stackoverflow.com/questions/67992206

            QUESTION

            How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)
            Asked 2021-Jun-15 at 17:51

            I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.

            And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.

            When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.

            I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.

            My attempts have amounted to this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 17:34
            library(mclust)
            #> Package 'mclust' version 5.4.7
            #> Type 'citation("mclust")' for citing this R package in publications.
            library(tidyverse)
            data("diabetes")
            

            Source https://stackoverflow.com/questions/67990027

            QUESTION

            R dplyr, distinct, unique combination of variables, with maximum value of third
            Asked 2021-Jun-15 at 16:25

            I'm close but don't have the syntax correct. I'm trying to select all columns of a data table based on selection of unique combinations of two variables (columns) based on the maximum value of a third. MWE of progress thus far. Thx. J

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:25

            We can add an arrange statement before the distinct

            Source https://stackoverflow.com/questions/67989842

            QUESTION

            How can I use paste0() to access a column from a reactive expression that returns a data frame in r?
            Asked 2021-Jun-15 at 15:12

            I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.

            If I use corte2() instead of eval(paste0("corte",2)) on the observerEvent the app runs properly. The problem is that I want to use the paste0() because the integer "2" in eval(paste0("corte",2)) will be an argument of a function (function(data,n)) so I can easily generate corte1, corte2 and so on.

            When I run it using eval(paste0("corte",2)) I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe() to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily" error and the SelectInput choices will be empty. I also tried [[ instead, but nothing.

            Any ideas on how to solve the problem?

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:12

            You can try this code -

            Source https://stackoverflow.com/questions/67978600

            QUESTION

            custom valueboxes in R Shiny are compressed with large white spaces in between them
            Asked 2021-Jun-15 at 14:44

            I'm trying to make custom valueboxes in R Shiny. I've discovered how to change the color of the background, but something is making my value boxes stubby and leaving large gaps in between them. I'd like to display 3 on a line ideally, but even with a width of 4, they appear squished. How can I get them to have more of the red with just a small gap of white in between.

            Below is a reproducible example as well as a screenshot.

            ...

            ANSWER

            Answered 2021-Jun-14 at 20:40

            Insert the outputs in a fluidRow; they will be placed better in the bootstrapp grid:

            Source https://stackoverflow.com/questions/67976463

            QUESTION

            spec_tbl_df is over 10 times slower on same opperations as a normal tibble
            Asked 2021-Jun-15 at 14:37

            So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task. After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom and readr is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex showing the behavior cause I feel that this is out of my ballpark.

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:37

            This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df class, which does not really do much.

            vroom does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.

            With vroom:

            Source https://stackoverflow.com/questions/67978477

            QUESTION

            Extract words that are repeated from one sentence to the next
            Asked 2021-Jun-15 at 10:11

            I have sentences from spoken conversation and would like to identify the words that are repeated fom sentence to sentence; here's some illustartive data (in reproducible format below)

            ...

            ANSWER

            Answered 2021-Jun-14 at 16:37

            Depending on whether it is sufficient to identify repeated words, or also their repeat frequencies, you might want to modify the function, but here is one approach using the dplyr::lead function:

            Source https://stackoverflow.com/questions/67971507

            QUESTION

            how to run different functions in forloop
            Asked 2021-Jun-15 at 08:22

            I would like to run two different functions over the same loop and save the results with a specific name df.rescale01 and df.rescale.02. many thanks in advance.

            ...

            ANSWER

            Answered 2021-Jun-15 at 08:22

            You could store both the functions and results in separate lists like this

            Source https://stackoverflow.com/questions/67982375

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

            Vulnerabilities

            No vulnerabilities reported

            Install tibble

            You can download it from GitHub.

            Support

            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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