broom | Simple file picker-upper

 by   drfeelngood Ruby Version: Current License: MIT

kandi X-RAY | broom Summary

kandi X-RAY | broom Summary

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

A simple module to help monitor a directory for new files and perform an action on each new file. Broom periodically sweeps a directory, caching each file and its last modification time. After each sweep, Broom iterates through the cache and yields only the files that have a current modification time that matches the cached modification time. In the event of an error, Broom gracefully sweeps the file to a failure dustpan. Else, the file is swept to a success dustpan. Broom depends on the following directory structure, which can be modified using the 'success_dir' and 'failure_dir' options.
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            kandi-support Support

              broom has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of broom is current.

            kandi-Quality Quality

              broom has 0 bugs and 0 code smells.

            kandi-Security Security

              broom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              broom code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              broom is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              broom releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed broom and discovered the below as its top functions. This is intended to give you an instant insight into broom implemented functionality, and help decide if they suit your requirements.
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            broom Key Features

            No Key Features are available at this moment for broom.

            broom Examples and Code Snippets

            No Code Snippets are available at this moment for broom.

            Community Discussions

            QUESTION

            Is there an R function to help turn State abbreviations into full names? Or Vice Versa?
            Asked 2022-Apr-18 at 03:52

            I have two large-ish data frames I am trying to append...

            In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

            In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

            Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

            Edit: dput(df2)

            ...

            ANSWER

            Answered 2022-Apr-18 at 03:52

            Here's one way you could turn state abbreviations into state names using R's built in state vectors:

            Source https://stackoverflow.com/questions/71907258

            QUESTION

            How to implement "broom" package in R
            Asked 2022-Apr-17 at 08:41

            I have an issue that might be silly in some ways, but following this question:

            Linear Regression and group by in R

            I tried to install the broom package in order to "retrieve the coefficients and Rsquared/p.value".

            I know that the previous question is 12 years old but this package is still listed in my RStudio for installation, but then I have this error message and I am lost on what to do to make it work properly:

            library(broom) Error in value[3L]: Package 'broom' version 0.7.12 cannot be loaded: Error in unloadNamespace(package): namespace 'broom' is imported by 'modelr', 'tidyverse', 'rstatix' and therefore cannot be unloaded

            So my question is straightforward: what does it mean? Did broom become a dependancy of the 3 packages cited? How to make it work?

            Thank you very much for your help.

            EDIT: screenshot of the output to know why some numbers appear in red.

            ...

            ANSWER

            Answered 2022-Apr-17 at 08:28

            Given your comments, you should be able to purrr::map broom::tidy over your list column of models.

            Source https://stackoverflow.com/questions/71900132

            QUESTION

            How to use multiple rolling windows using slider in R?
            Asked 2022-Apr-15 at 19:43

            Here is my toy data.

            ...

            ANSWER

            Answered 2022-Apr-15 at 19:43

            To carry out the same operation multiple times, we can use a for-loop or an apply function.

            To keep the code tidy, I first made a function out of the code to repeat, with the value of .before as a parameter. Then lapply() executes that function multiple times. Then do.call(rbind) binds the resulting dataframes together.

            Source https://stackoverflow.com/questions/71873344

            QUESTION

            Looping `lm` objects using `purrr::map` into `broom::tidy`
            Asked 2022-Apr-10 at 20:47

            I have a several lm objects that I would like to loop into broom::tidy using purrr::map. Is this possible to do?

            ...

            ANSWER

            Answered 2022-Apr-10 at 20:47

            You need to keep your models in a list (list()), not in a vector (c()):

            Source https://stackoverflow.com/questions/71820400

            QUESTION

            Creating loop over columns to calculate regression and then compare best combination of variables
            Asked 2022-Mar-24 at 19:14

            I am trying to run a loop which takes different columns of a dataset as the dependent variable and remaining variables as the independent variables and run the lm command. Here's my code

            ...

            ANSWER

            Answered 2022-Mar-24 at 17:53

            We could change the line of fit with

            Source https://stackoverflow.com/questions/71605227

            QUESTION

            No tidy method for objects of class formula using friedman.test in R
            Asked 2022-Jan-26 at 14:33

            here the datasets with repeated measure

            ...

            ANSWER

            Answered 2022-Jan-26 at 14:33
             alt %>% 
              group_by(groupter) %>% 
              mutate(id_row = row_number()) %>% 
              pivot_longer(-c(id_row, groupter)) %>% 
              nest() %>% 
              mutate(result = map(data, ~friedman.test(value ~ name | id_row, data = .x))) %>% 
              mutate(out = map(result, broom::tidy)) %>% 
              select(-c(data, result)) %>% 
              ungroup() %>% 
              unnest(out)
            
              groupter statistic p.value parameter method                
                                                
            1        1      14.5  0.0129         5 Friedman rank sum test
            2        2      11.7  0.0389         5 Friedman rank sum test
            

            Source https://stackoverflow.com/questions/70864567

            QUESTION

            unable to load shared object 'TMB.so'
            Asked 2022-Jan-17 at 14:18

            I installed broom.mixed package via conda conda install -c conda-forge r-broom.mixed, however, it doesn't import and shows error message:

            ...

            ANSWER

            Answered 2022-Jan-17 at 14:18
            Improper Channel Mixing

            I believe the issue being encountered is primarily driven by mixing the defaults channel (specifically the r channel) and the conda-forge channel. This is known to lead to missing libraries and missing symbol references in shared libraries because Anaconda and Conda Forge use different build stacks and sometimes different recipes.

            In this case, r-broom.mixed depends on r-tmb, which on Conda Forge depends on libblas and liblapack, but on the r channel does not have these dependencies.

            Recommendation: Conda Forge only

            Generally, I recommend that Conda users who want R environments should only use Conda Forge and avoid using the r channel. This is because the r channel has mostly been abandoned from what I can tell (e.g., no R version 4 releases, and most packages have not been updated for over a year).

            Furthermore, I would discourage the use of the r-essentials package. Analogous to the Anaconda distribution of Python (anaconda package), the r-essentials package bundles together many packages that are anticipated to be used by data scientists, but some of it simply seems bloated to me. Something specific that troubles me about it is that it ends up pulling in Python in addition to R. No one should need to have Python mixed in with an R environment. This is due to including notebook, which if users really want to load an R environment as a kernel, they only need r-irkernel (as demonstrated below).

            In summary, one should be fine simply doing:

            Source https://stackoverflow.com/questions/70727524

            QUESTION

            Combine multiple gt tables to single one plot
            Asked 2022-Jan-06 at 13:40

            With code below (edited basing on code from here) I generates two example tables with gt package:

            ...

            ANSWER

            Answered 2022-Jan-06 at 13:23

            I can offer to you this solution:

            1. We take your data:

            Source https://stackoverflow.com/questions/70603983

            QUESTION

            Running single linear regressions across multiple variables, in groups
            Asked 2021-Dec-12 at 22:18

            I'm trying to run a simple single linear regression over a large number of variables, grouped according to another variable. Using the mtcars dataset as an example, I'd like to run a separate linear regression between mpg and each other variable (mpg ~ disp, mpg ~ hp, etc.), grouped by another variable (for example, cyl).

            Running lm over each variable independently can easily be done using purrr::map (modified from this great tutorial - https://sebastiansauer.github.io/EDIT-multiple_lm_purrr_EDIT/):

            ...

            ANSWER

            Answered 2021-Dec-12 at 22:18

            IIUC, you can use group_by and group_modify, with a map inside that iterates over predictors.

            If you can isolate your predictor variables in advance, it'll make it easier, as with ivs in this solution.

            Source https://stackoverflow.com/questions/70327540

            QUESTION

            gtsummary::tbl_regression use pool_and_tidy_mice() with tidy_standardize()
            Asked 2021-Dec-10 at 12:44

            I'm currently trying to run tbl_regression with an imputed dataset from mice run through a logistic glm. I'm having trouble trying to combine the custom tidiers pool_and_tidy_mice and tidy_standardize in order to get the regression output from the pooled mice results and the standardized odds ratio estimates.

            Is there a way to get the standardized odds ratios with pooling imputed data with tbl_regression or possibly another step I can take to get them?

            Using the surival package as an example, I can get standardized odds ratio with non-imputed data with this code:

            ...

            ANSWER

            Answered 2021-Dec-10 at 09:41

            Unlike the unimputed data, mice doesn't output a table, so it must be transformed using complete afterwards. What about this:

            Source https://stackoverflow.com/questions/70300331

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

            Vulnerabilities

            No vulnerabilities reported

            Install broom

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            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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