wrapr | Wrap R for Sweet R Code | Runtime Evironment library

by WinVector R Version: 2.0.9 License: GPL-2.0

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kandi X-RAY | wrapr Summary

wrapr is a R library typically used in Server, Runtime Evironment, Nodejs applications. wrapr has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Primary wrapr services include:.

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Support

wrapr has a low active ecosystem.

It has 129 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 14 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wrapr is 2.0.9

Quality

wrapr has no bugs reported.

Security

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

License

wrapr is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

wrapr releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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wrapr Key Features

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wrapr Examples and Code Snippets

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Community Discussions

Trending Discussions on wrapr

Using lists to run multiple statistics test with one set of code

Add data.frame objects' names from a list in columns in said data.frame objects list

Add ifelse() created variable to list of data frames

specify legend colors and labels from columns of data frame

Perform multiples pivot_longer in a data frame

interval between 3 dates, ifelse with 3 options

filter observations within date interval or NA

Rank variables after DATE and ID

ggplot add geom_path with different color aesthetic // Error: Error: Insufficient values in manual scale

Using formulas with aliases to perform multi-column operations

QUESTION

Using lists to run multiple statistics test with one set of code

Asked 2021-Apr-28 at 05:10

I'm interested in using lists to run multiple statistics test with one set of code.

For example, I want to run glm() tests that vary in terms of DVs, IVs, data, and family, based on rows in a data frame / list. I can do this the long way, and I can use lapply() to do this a "medium way" such that I can change the DV used in the test. But I would like to know if there is a method {preferably using lapply()} to complete this task with less code and in a more automated/iterative fashion.

For the example data, I created 2 datasets using the ggplot2::diamonds data and the code below:

...

ANSWER

Answered 2021-Apr-28 at 05:10

You can do this with lapply as :

Source https://stackoverflow.com/questions/67293969

QUESTION

Add data.frame objects' names from a list in columns in said data.frame objects list

Asked 2021-Apr-01 at 03:58

I want to know how to add data.frame objects' names from a list in columns in said data.frame objects list.

I created a list of lm() objects where only the DVs (known as DV_col) vary (either mpg, drat, disp). The general format of the lm() is: lm( DV_col ~ cyl, data = mtcars).

...

ANSWER

Answered 2021-Apr-01 at 03:58

You can do this with the help of Map :

Source https://stackoverflow.com/questions/66898077

QUESTION

Add ifelse() created variable to list of data frames

Asked 2021-Mar-19 at 19:56

I want to know how to create a variable using the ifelse() command to a list of data frames.

I created 2 datasets, using the 300 top and bottom values from the ggplot2::diamonds dataset, called diamonds_top300 and diamonds_bottom300:

...

ANSWER

Answered 2021-Mar-19 at 19:56

As it is a list of data.frame, we can directly create the column with transform after looping over the list with lapply. It may be better to keep it as logical vector because it helps in doing subsets easier

Source https://stackoverflow.com/questions/66714445

QUESTION

specify legend colors and labels from columns of data frame

Asked 2020-Sep-22 at 13:17

I have a tidy data frame. I want to use it to plot lines via geom_line(). The colors that each line should have are specified in one column of the data frame. The labels that each line should have are specified in another column (which is also the group column). With a data frame like this, what is the most efficient and least error-prone way to specify a plot that has a legend with the right colors and labels?

Here is a minimal example that does what I want:

...

ANSWER

Answered 2020-Sep-22 at 13:17

Are you just looking for scale_color_identity? This takes the name of the color in the column and maps it to the color aesthetic. You therefore don't need to specify the color in your ggplot call at all. However, if you want the labels to be species rather than colours, you will need to make sure that you specify the labels argument:

Source https://stackoverflow.com/questions/64010472

QUESTION

Perform multiples pivot_longer in a data frame

Asked 2020-Sep-21 at 17:38

So this is my data, each row corresponds to a nest and in each row we have 3 chick CHICK_RING1, CHICK_RING2, CHICK_RING3 with their age and body condition.

...

ANSWER

Answered 2020-Sep-21 at 17:38

You should pivot twice:

Source https://stackoverflow.com/questions/63996499

QUESTION

interval between 3 dates, ifelse with 3 options

Asked 2020-Jul-16 at 15:59

d <- wrapr::build_frame( "ID" , "DATE", "DATE2","DATE3" | 1 , "2001-01-01" , "2004-01-01","NA"| 2 , "2001-01-01" , "NA","2003-02-02" | 3 , "2001-01-01" , "NA","NA")

  ID       DATE      DATE2      DATE3
1  1 2001-01-01 2004-01-01         NA
2  2 2001-01-01         NA 2003-02-02
3  3 2001-01-01         NA         NA

...

ANSWER

Answered 2020-Jul-16 at 15:59

Using dplyr we can use a combination of mutate and case_when:

First we covert the columns to date format and then we calculate the difference case by case.

Source https://stackoverflow.com/questions/62937911

QUESTION

filter observations within date interval or NA

Asked 2020-Jun-05 at 12:22

I want to check observations for a certain date interval or NA and then create new variable. See example:

...

ANSWER

Answered 2020-Jun-05 at 12:22

One possible solution using dplyr would be

Source https://stackoverflow.com/questions/62213594

QUESTION

Rank variables after DATE and ID

Asked 2020-May-01 at 18:00

I have the following table:

...

ANSWER

Answered 2020-May-01 at 18:00

We can use dense_rank

Source https://stackoverflow.com/questions/61547621

QUESTION

ggplot add geom_path with different color aesthetic // Error: Error: Insufficient values in manual scale

Asked 2020-Apr-15 at 11:07

I am trying to connect the geom_points in my ggplot with geom_path. The lines should be in the same color as the geom_point fill color. However, geom_path does not know fill and color is used for a different grouping.

I am also highlighting certain geom_points with black outline using

scale_color_manual(values = c("NA", "black"), labels = c("No Buy Box", "Buy Box"))

What can I do? In fact, I want to plot the dots in different color (fill) by seller_id, highlight certain of these dots with colour = black if bbox = 1 and in addition connect the dots in their color using geom_path. I assume there are some more general issues in how I layered up the graphs in terms of the sub-sampling. geom_path does not know fill, this would have been the easiest solution. A data snippet is at the end to this post.

Thank you!!

...

ANSWER

Answered 2020-Apr-14 at 14:53

Give this a try, it is hard to replicate your dataframe but I had similar issues and the following worked.

First define your colour and values (also I am not understanding exactly what you are trying to do with the "NA" here, you need to have colors and not NAs). You also have one colour defined for two different plots (line and path make sure you add that for the two separately).

Also take a look at this solution: [plot below showing 2 legends when controling scale color manual

Source https://stackoverflow.com/questions/61207994

QUESTION

Using formulas with aliases to perform multi-column operations

Asked 2020-Mar-14 at 16:58

This question is related to a previous one I asked, but trying to be more generic. I want to use formulas to perform operations on multiple "groups" of data (i.e. a_data1, a_data2, b_data1, b_data2, and then make operations using the *_data1 columns).

Based on @akrun's answer to that question, I created the following function. It takes a one-sided formula and applies it to all the "groups of data":

...

ANSWER

Answered 2020-Mar-14 at 16:58

Maybe someone more knowledgeable can chime in with a more tidyverse-y approach, but the problem can be solved (not very elegantly, admittedly) by wrapping the entire wrapr::let call into eval(parse(text=..)) - it is definitely faster:

Source https://stackoverflow.com/questions/60677042

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Vulnerabilities

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Install wrapr

You can download it from GitHub.

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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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