memoise | Easy memoisation for R | Development Tools library

 by   r-lib R Version: v2.0.0 License: Non-SPDX

kandi X-RAY | memoise Summary

kandi X-RAY | memoise Summary

memoise is a R library typically used in Utilities, Development Tools, Tensorflow, Nodejs, Neural Network applications. memoise has no bugs, it has no vulnerabilities and it has low support. However memoise has a Non-SPDX License. You can download it from GitHub.

The memoise package makes it easy to memoise R functions. Memoisation (caches function calls so that if a previously seen set of inputs is seen, it can return the previously computed output.
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              memoise has a low active ecosystem.
              It has 264 star(s) with 58 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 20 open issues and 61 have been closed. On average issues are closed in 211 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of memoise is v2.0.0

            kandi-Quality Quality

              memoise has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              memoise 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

              memoise releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            memoise Key Features

            No Key Features are available at this moment for memoise.

            memoise Examples and Code Snippets

            No Code Snippets are available at this moment for memoise.

            Community Discussions

            QUESTION

            Can you extract defective rows using AssertR in R?
            Asked 2021-May-02 at 08:46

            The example below is a simple one which tries to assert the column y is always positive (y>0). How can I extract the errored data (row 3 with the negative value,into a dataframe maybe, or any convenient object) while allowing the workflow to continue with "cleaned" data?

            ...

            ANSWER

            Answered 2021-Apr-12 at 09:23

            This is tricky, and the answer below doesn't solve this 100%. Now there are a number of different ways assertr lets you handle errors/stops, just see ?error_stop (which is the default).

            You need to not only filter out rows that fail, but also collect them (all) for later inspection.

            Below I wrote my own error handler. It fetches those rows that fail, filter them away, and stores them in the global environment under the varibale my.failed.rows.

            Source https://stackoverflow.com/questions/67053792

            QUESTION

            file.rename deletes files if filename format is <0-9>.R
            Asked 2021-Mar-21 at 08:24

            Description

            This issue appears to apply to vectorised and loop approaches to renaming several files. Vectorised approach used in reprex below. The bug only seems to present when filenames do not contain meaningful or alphanumeric strings.

            Summary

            Existing files prior to file.rename:
            "1.R" "2.R" "3.R" "4.R" "5.R".
            Existing files following file.rename:
            "6.R".
            Expected output:
            "2.R" "3.R" "4.R" "5.R" "6.R"

            Reprex

            ...

            ANSWER

            Answered 2021-Mar-20 at 09:03

            Is 6.R actually the content of 1.R?

            I think you are seeing 1.R renamed to 2.R and over-writing 2.R in the process. The new 2.R to 3.R etc.

            Source https://stackoverflow.com/questions/66719771

            QUESTION

            Amount of available memory in cache initialised with the R function: `memoise::memoise()`
            Asked 2021-Feb-24 at 11:12

            I am repeatedly calling a memoised function initialised as so:

            ...

            ANSWER

            Answered 2021-Feb-24 at 11:12

            I found a workaround which solves this problem.

            By default memoise uses cachem::cache_mem to create the cache. Alternatively, I can use cachem::cache_disk which allows me to specify the location of the cache on the file system. Then it's trivial to see how much free memory there is in the cache:

            Source https://stackoverflow.com/questions/66338888

            QUESTION

            How to clear the 'memo' or better understand scoping in R with memoised recursive functions using superassignment "<<-"
            Asked 2021-Feb-23 at 20:00

            I was following along with a dynamic programming tutorial and trying to adapt their code for R. A solution I see in lots of posts for memoization in R starts by creating a local environment in which the memo object is created. That memo object doesn't get 'cleared' between calls to the function. For some common uses I could see how that would actually be a benefit-- if the calculations you're asking the function to make are basically 'fixed', then why do them multiple times in a session? But for this instance, it's a problem.

            This recursive function takes a target integer and a list of integers, and returns 'TRUE' if any combination of the list (with replacement) can sum to the target, otherwise 'FALSE'.

            ...

            ANSWER

            Answered 2021-Feb-23 at 20:00

            Try running the recursion within csm:

            Source https://stackoverflow.com/questions/66338936

            QUESTION

            ERROR: lazy loading failed for package 'TStools'
            Asked 2021-Jan-29 at 13:39

            I'm trying to install the package TStools for R. I have tried all the suggestion I've found so far through googleing, but nothing works. I get every time the same exact error:

            ...

            ANSWER

            Answered 2021-Jan-29 at 13:39

            Looks like you have libraries compiled with different versions of R in your library folder. The error message is very clear:

            Source https://stackoverflow.com/questions/65954843

            QUESTION

            React Layout Components Best Practice
            Asked 2020-Dec-01 at 10:20

            I am working on creating a dashboard in React, and I currently have the page component holding all of the state and managing the requests to the backend api. I am considering refactoring to pull requests out of the page component - for the purpose of keeping it purely presentational - and moving all api and data logic inside the dashboard widget components.

            Although I believe this is supposed to be best practice, I am concerned about certain inefficiencies. One problem I forsee is that the fetch requests will need to be memoised, otherwise some of the data shared by several of the components will be requested from the API multiple times. Another issue I forsee is that each component requires a connection to the redux state store and I am not sure of the overhead of using 'connect' versus passing the props from a useState object.

            Overall, am I mostly concerned about nothing? Is this the best way to approach this? Or should I retain some logic in the page component if it reduces the number of api calls/ redux connections?

            ...

            ANSWER

            Answered 2020-Dec-01 at 10:20

            Using the swr library turned out to work perfectly. I would suggest anyone who needs to memoise API requests made by different components use the swr library with a common endpoint string to ensure caching.

            Source https://stackoverflow.com/questions/63691699

            QUESTION

            R: Computing difference in values for multiple groups/variables in R
            Asked 2020-Nov-03 at 14:30

            Is there a way to calculate the difference between each group efficiently? Ideally, I want to create a new column with mutate() function to show the difference (in one column, in a long format). I don't want to have to do compute the difference between each group individually.

            i.e. I want to find the difference in values between each group, on a given date and hour:
            arc1045 - arc1046,
            arc1045 - arc1047,
            arc1045 - arc1048,
            arc1045 - arc1050,
            arc1046 - arc1047,
            arc1046 - arc1048,
            .
            .
            .

            The data frame can be retrieved using the code below.

            ...

            ANSWER

            Answered 2020-Nov-03 at 14:30

            You can put your data frame into long form with pivot_longer, then do a full_join to get all combinations by date, hour, and row number. Using distinct you can get unique combinations and remove duplicates (e.g., arc1045 - arc1046 and arc1046 - arc1045).

            Source https://stackoverflow.com/questions/64664237

            QUESTION

            Why is knitting a pdf_document in Rstudio extraordinarily slow now?
            Asked 2020-Oct-30 at 19:31

            Knitting the following Rmd file now takes ~2 minutes on a 2020 MacBook Pro:

            ...

            ANSWER

            Answered 2020-Oct-30 at 19:31

            Try running tinytex::reinstall_tinytex() and then rerunning your report

            Source https://stackoverflow.com/questions/64576044

            QUESTION

            summarise() in dplyr 1.0.2 acting like mutate()
            Asked 2020-Oct-23 at 18:34

            Given a tibble that lists users, products, and product features, I am attempting to calculate the fraction of distinct product users who have a certain product feature:

            ...

            ANSWER

            Answered 2020-Oct-23 at 18:34

            The problem is your have multiple values for n_users for each group. The latest version of dplyr allow you to return more than one row per group if your summary function returns multiple values.

            If you want to assume all the values for n_users will be the same per group, then you can do

            Source https://stackoverflow.com/questions/64505536

            QUESTION

            React Hooks - Memoise functions without invoking them
            Asked 2020-Sep-28 at 23:20

            I have a following function which I use to control my modals:

            ...

            ANSWER

            Answered 2020-Sep-28 at 23:20

            Create a custom hook that create memoized onClose, and onOpen, and returns the modalProps object:

            Source https://stackoverflow.com/questions/64110663

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

            Vulnerabilities

            No vulnerabilities reported

            Install memoise

            Install from CRAN with.

            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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            https://github.com/r-lib/memoise.git

          • CLI

            gh repo clone r-lib/memoise

          • sshUrl

            git@github.com:r-lib/memoise.git

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