hadleyverse | A package to install packages from the hadleyverse

by imanuelcostigan R Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | hadleyverse Summary

hadleyverse is a R library. hadleyverse has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A package to install packages from the hadleyverse

Support

Quality

Security

License

Reuse

Support

hadleyverse has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

hadleyverse has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hadleyverse is current.

Quality

hadleyverse has no bugs reported.

Security

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

License

hadleyverse is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

hadleyverse releases are not available. You will need to build from source code and install.

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hadleyverse Key Features

No Key Features are available at this moment for hadleyverse.

hadleyverse Examples and Code Snippets

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Community Discussions

Trending Discussions on hadleyverse

How to calculate new column depending on aggregate function on group using dplyr (add summary statistics on the summary statistics)?

How to elegantly split strings in half by word count?

Why does ggplot2 see a data.frame and data_frame differently?

QUESTION

How to calculate new column depending on aggregate function on group using dplyr (add summary statistics on the summary statistics)?

Asked 2019-Apr-12 at 23:25

Quite often I need to calculate a new column for an R dataframe (in long form), whose value should depend on an aggregate function (e.g. sum) of a group. For instance, I might want to know what fraction of sales a product accounts for on any given day:

...

ANSWER

Answered 2017-Feb-13 at 21:16

Besides using summarise to aggregate, you can use mutate to assign summary stats to the full column:

Source https://stackoverflow.com/questions/42213465

QUESTION

How to elegantly split strings in half by word count?

Asked 2018-Jan-17 at 23:01

I need to split strings in half by word count (when there's an odd number of words, the middle word should appear in both the left and right side). I also need to know which side each string came from.

...

ANSWER

Answered 2018-Jan-17 at 23:01

We can write some helper functions to make this easier

Source https://stackoverflow.com/questions/48310603

QUESTION

Why does ggplot2 see a data.frame and data_frame differently?

Asked 2017-Oct-10 at 16:23

I have two very similar data frames, which ggplot2 sees differently; although the contents are the same the data structures are subtly different. One is a data.frame, the other a data_frame. I'd like to understand the difference in how ggplot2 sees them. In the following examples, both are being used in a stat_function; the data.frame produces plots while the data_frame produces errors. This is particularly confusing in light of the interoperability of packages in the Hadleyverse. I first ran into this issue when I found that I was unable to create a plot from a data frame produced by dplyr (dplyr turns data.frames into data_frames) while a data frame I thought was identical (it wasn't, it was a data.frame) worked just fine.

Example 1

First, the working version from the data.frame.

...

ANSWER

Answered 2017-Oct-10 at 16:22

ggplot was seeing a data frame where it expected a value.

This resulted from differences between the data types returned by the subsetting square-bracket operator applied when applied to a data.frame or a tibble (the data frame preferred by Hadley's dplyr). Subsetting a data.frame can change types by default, e.g. returning a vector or value. Subsetting a tibble will return a tibble unless the user requests re-casting explicitly, e.g. by using pull or double-brackets [[]]. The error message "Non-numeric argument to mathematical function" should have been a clue.

The following code demonstrates this by appropriately re-casting the tibbles. library(ggplot2) library(dplyr)

Source https://stackoverflow.com/questions/46670240

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

Vulnerabilities

No vulnerabilities reported

Install hadleyverse

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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