tidytable | Tidy interface to 'data.table | Data Visualization library

by markfairbanks R Version: v0.9.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | tidytable Summary

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

Tidy interface to 'data.table'

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Quality

Security

License

Reuse

Support

tidytable has a low active ecosystem.

It has 374 star(s) with 26 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 345 have been closed. On average issues are closed in 38 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tidytable is v0.9.2

Quality

tidytable has 0 bugs and 0 code smells.

Security

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

tidytable code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tidytable 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.

Reuse

tidytable releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 14111 lines of code, 0 functions and 119 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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tidytable Key Features

No Key Features are available at this moment for tidytable.

tidytable Examples and Code Snippets

No Code Snippets are available at this moment for tidytable.

Community Discussions

Trending Discussions on tidytable

R: turn string into variable names in `tidytable::complete()`

collapse: Modifying Columns by row along with combine values from multiple columns

Succinctly Reproducing the following graph with R and ggplot2

R iterate over a dictionary into a function for multiple values

Multiple string replacement, decimals to quarters

How to generate list objects within tidytable mutate rowwise?

How to optimize pasting single/multiple column names with its values based on some condition

QUESTION

R: turn string into variable names in `tidytable::complete()`

Asked 2022-Mar-21 at 16:47

I have a tidytable that I would like to run complete on for a given set of columns, but for some reason that I can't figure out, usual methods that turn strings into variable names do not work:

...

ANSWER

Answered 2022-Mar-21 at 16:47

We need syms to convert to symbol and then evaluate (!!!)

Source https://stackoverflow.com/questions/71561154

QUESTION

collapse: Modifying Columns by row along with combine values from multiple columns

Asked 2022-Feb-05 at 00:49

I want to translate the following R code using tidytable into collapse: Advanced and Fast Data Transformation.

tidytable Code

...

ANSWER

Answered 2022-Feb-03 at 19:07

The ?fsum from collapse does columnwise sum

fsum is a generic function that computes the (column-wise) sum of all values in x, (optionally) grouped by g and/or weighted by w (e.g. to calculate survey totals).

Based on the tidytable code, it is rowwise, so one option is to select (slt) the columns of interest, transpose, convert to tibble/data.frame and use fsum and create a new column

Source https://stackoverflow.com/questions/70976752

QUESTION

Succinctly Reproducing the following graph with R and ggplot2

Asked 2021-Dec-27 at 22:55

I borrowed the R code from the link and produced the following graph:

Using the same idea, I tried with my data as follows:

...

ANSWER

Answered 2021-Dec-27 at 22:55

You can do calculations within a function for the x and y values to construct the ggplot which extends the circle all the way round and gives labels correct heights.

I've adapted a function to work with other datasets. This takes a dataset in a tidy format, with:

a 'year' column
one row per 'event'
a grouping variable (such as country)

I've used Nobel laurate data from here as an example dataset to show the function in practice. Data setup:

Source https://stackoverflow.com/questions/70393322

QUESTION

R iterate over a dictionary into a function for multiple values

Asked 2021-Nov-22 at 12:52

I am trying to create a loop (or the most efficient way) to iterate over a series of calendars in R (or Python!) to post ALL holidays (ideally it would be all business days, but it seems like I might design two parts to this - as I would like weekends flagged). The goal is to have a dataframe that looks like:

...

ANSWER

Answered 2021-Nov-22 at 12:52

Use lapply to get list of dates for each value in calendars.

Source https://stackoverflow.com/questions/70065682

QUESTION

Multiple string replacement, decimals to quarters

Asked 2021-Jun-01 at 09:27

I want to replace .00 with -Q1, .25 with -Q2, .50 with -Q3, and .75 with -Q4 as given below. However, my code is not working as expected. Any hints?

...

ANSWER

Answered 2021-Jun-01 at 07:35

vec <- c("00" = "-Q1", "25" = "-Q2", "50" = "-Q3", "75" = "-Q4")
dt1 %>%
  mutate(new = paste0(Date %/% 1, vec[sprintf("%02d", Date %% 1 * 100)]))

   Date new    
     
1 2015  2015-Q1
2 2015. 2015-Q2
3 2016. 2015-Q3
4 2016. 2015-Q4

Source https://stackoverflow.com/questions/67784271

QUESTION

How to generate list objects within tidytable mutate rowwise?

Asked 2021-May-28 at 18:12

I have the following want table, which are generated with rowwise() and mutate(). The main issue is that this solution is too slow.

The actual dataset contains around 15,000,000 rows, and took around 6 hours to complete.

What I hope to do is to convert the rowwise() and mutate() operations into tidytable so that it can leverage on data.table speed. Or maybe I just need a base R solution?

...

ANSWER

Answered 2021-May-28 at 18:12

The error occurs in subsetting the list element i.e. we are not extracting the list element. It can be done with [[

Source https://stackoverflow.com/questions/67743535

QUESTION

How to optimize pasting single/multiple column names with its values based on some condition

Asked 2021-Feb-07 at 16:05

I would like to paste column names with their values. It must be based on some condition (if statement) and it can be based on a single variable or multiple variables.

Below is a small example showing how the data looks like. I would like to speed up this process and get the same results as the fun2, fun3, and fun4.

To make this as simple as possible, there is only one rule to set to missing if columns a, b, c, and d have values bigger than zero. But, I left the name of the rule, because it can be different, like "rule 1" > 0 and "rule 2" if is non-missing.

...

ANSWER

Answered 2021-Feb-07 at 16:05

Up front, I confess that I have not been able to beat the benchmarking (thanks for the challenge). There might be ways to wring a little bit of speed out of it, but let me recommend a method that does the same thing (faster with smaller data, about the same with large data) but supporting per-rule functions. It isn't what you asked directly, but you hinted at different functions for each rule.

(I've updated the code, thanks to @Cole for finding a remnant of my early exploration.)

Source https://stackoverflow.com/questions/66068903

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

Vulnerabilities

No vulnerabilities reported

Install tidytable

Install the released version from CRAN with:.

Support

tidytable allows you to select/drop columns just like you would in the tidyverse by utilizing the tidyselect package in the background. Normal selection can be mixed with all tidyselect helpers: everything(), starts_with(), ends_with(), any_of(), where(), etc.

Find more information at: