timetk | Time series analysis in the tidyverse | Predictive Analytics library

 by   business-science R Version: 2.8.1 License: No License

kandi X-RAY | timetk Summary

kandi X-RAY | timetk Summary

timetk is a R library typically used in Analytics, Predictive Analytics applications. timetk has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Timetk is an amazing package that is part of the modeltime ecosystem for time series analysis and forecasting. The forecasting system is extensive, and it can take a long time to learn:. Your probably thinking how am I ever going to learn time series forecasting. Here’s the solution that will save you years of struggling.
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              timetk has a low active ecosystem.
              It has 557 star(s) with 86 fork(s). There are 37 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 19 open issues and 102 have been closed. On average issues are closed in 74 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of timetk is 2.8.1

            kandi-Quality Quality

              timetk has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              timetk does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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

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            timetk Key Features

            No Key Features are available at this moment for timetk.

            timetk Examples and Code Snippets

            No Code Snippets are available at this moment for timetk.

            Community Discussions

            QUESTION

            why should the models used by modeltime_table be adjusted on the training data when applying modeltime_fit_resamples ?( modeltime )
            Asked 2021-Feb-10 at 12:30

            When working with time series through the modeltime / tidymodels framework, the following workflow is presented to verify the performance of the models with cross validation.

            ...

            ANSWER

            Answered 2021-Feb-10 at 12:30

            I believe understanding the procedure a bit more will help. When you Modeltime Resample is designed to take your model's specification and refit it repeatedly to resampled data.

            What is resampling?

            It's the idea that we want to test how our models would have performed given that the models were trained on subsets of the data. This is useful in understanding our confidence in the models and how it changes especially with time series (temporal) data. Resampling require re-training and re-evaluating the model specification on each resample (train/test 1, train/test 2, ..., train/test N).

            What is a model specification?
            • It's the parameters you've specified and model type (modeling function and engine)
            • It's not the "Fitted Model" (meaning it doesn't make predictions with your model)
            How does the internal Modeltime Resample process work?
            1. Modeltime Resample uses the fit_resamples() function from tune and applies to each model in a modeltime table containing one or more models.

            2. The refitting process ignores your "fitted model", but copies the parameters selected and the modeling specification to repeated fit (train) new models to the resamples.

            3. The result is how your model would have performed if fitted on different samples of the data. You can display the results using the plotting and table utilities.

            Resample Table and Resample Plot

            Examples from the Panel Data Tutorial:

            Source https://stackoverflow.com/questions/66032041

            QUESTION

            Rolling mean returns and sharpe on several time-series at once in R
            Asked 2021-Feb-06 at 17:23

            I use this script in order to calculate mean rolling returns and mean rolling sharpe ratio for a single etf at a time:

            ...

            ANSWER

            Answered 2021-Feb-06 at 17:23

            Using group_by solved the problem. Tnx Phiver

            Source https://stackoverflow.com/questions/66078625

            QUESTION

            R Shiny, - Passing Multiple User Inputs into a single dataframe in server
            Asked 2021-Jan-31 at 16:19

            I must admit I am relatively new to R-Shiny so apologies if this is a very basic question.

            I am trying to create an R-Shiny app which takes in user inputs in relation to an asset class' expected annual return, maximum weight and minimum weight. Ideally I would like to end up with a server dataframe similar to the below, with the expected returns and weights configurable:

            Asset Class Expected_Return Max_Weight Min_Weight Equity 0.08 1.00 0.25 Bonds 0.02 0.75 0.10 Gold 0.03 0.20 0.00 Property 0.05 0.30 0.00 Cash 0.01 0.10 0.00

            My UI code:

            ...

            ANSWER

            Answered 2021-Jan-31 at 15:51

            I know answers are usually supposed to solve your specific problem but I am quite lazy to type all those defaults, you can do this with editable data frames, I like to use the DT package for this

            example based on:https://yihui.shinyapps.io/DT-edit/

            Source https://stackoverflow.com/questions/65980959

            QUESTION

            R error "object 'required_pkgs' not found whilst loading namespace 'timetk'"
            Asked 2021-Jan-22 at 23:03

            I am using R 4.0.3 with RStudio 1.2.5033 on macOS 11.1.

            I have successfully installed the package using install.packages("timetk"). When trying to load the package with library(timetk), I get the following error:

            Error: package or namespace load failed for ‘timetk’: object 'required_pkgs' not found whilst loading namespace 'timetk'

            I do not know how to solve this. Can anyone please offer help or advice?

            Thank you, C

            ...

            ANSWER

            Answered 2021-Jan-21 at 15:18

            This seems to be an error with the package, an is a known issue on GitHub. You could try to install an earlier version of the package if you have one available, while waiting for the author(s) to publish a fix.

            At the time of writing, this error occurs both when installing from CRAN and GitHub.

            Source https://stackoverflow.com/questions/65829423

            QUESTION

            I am having problems in installing R packages. Whenever I tried to install, I get an error message of non-zero status. What is the reason?
            Asked 2021-Jan-20 at 21:29

            I tried to install the rethinking R package. However, I could not install the package. Whenever I install, R downloads the package, but it couldn't install for some reason. I even tried the direct website for the package, yet I ended up with the same problem. I also tried another package, "timetk". However, I faced the same error. Let me know the problem. Thanks.

            Code:

            #1.

            ...

            ANSWER

            Answered 2021-Jan-20 at 21:29

            When you see the message "finding level-2 HTML links ...", the package builder is running tools::findHTMLlinks(level=2) to find links between help files. Normally the link information is cached as an RDS file inside the package. Here's a variation of the code that is run by the function that you can run to check where the error might be coming from

            Source https://stackoverflow.com/questions/65804198

            QUESTION

            tibbletime with tq_transmute producing strange error, column obviously exists but says it doesn't
            Asked 2021-Jan-14 at 05:46

            I could have sworn this code worked a week ago, but I guess that I am mistaken. I keep getting the error: Error: Can't subset columns that don't exist. x Column asset doesn't exist. Run rlang::last_error() to see where the error occurred. In addition: Warning message: ... must not be empty for ungrouped data frames. Did you want data = everything()?

            I've taken it step by step to try and see where it is in my code and I can tell that it is after I group the assets, and occurs when I start to add on the tq_transmute. If someone could please help that would be greatly appreciated. I will have code that you should be able to just run automatically and see what I am talking about. It doesn't make any sense because "asset" does exist after gathering the data and grouping it.

            ...

            ANSWER

            Answered 2021-Jan-14 at 05:46

            gather has been replaced with pivot_longer and spread with pivot_wider. If you change gather code to pivot_longer it works. I am not exactly sure why it fails with gather though.

            Source https://stackoverflow.com/questions/65713816

            QUESTION

            Download xlsx file from Google Drive in R
            Asked 2021-Jan-05 at 01:04

            I have publicly shares a small dataset on Google Drive and I have made the file accessible to anyone with the link.

            I wish to download this file into R for analysis but I am having difficulty with unzipping the file from the temp directory.

            My code looks as follows:

            ...

            ANSWER

            Answered 2021-Jan-05 at 01:04

            What you have is a URL for viewing, you should obtain the URL for editing/downloading the file.

            The following works for me.

            Source https://stackoverflow.com/questions/65571739

            QUESTION

            R: Tibble Conversions
            Asked 2020-Dec-28 at 07:34

            I am using the R programming language. I am following this tutorial over here: https://blogs.rstudio.com/ai/posts/2018-06-25-sunspots-lstm/

            I am trying to prepare my data in the same way as this example over here:

            ...

            ANSWER

            Answered 2020-Dec-28 at 07:34

            Make your index column such that it can be converted to date object.

            Source https://stackoverflow.com/questions/65473333

            QUESTION

            rollapplyr students t-test across columns
            Asked 2020-Oct-30 at 18:09

            I have some data which looks like:

            ...

            ANSWER

            Answered 2020-Oct-30 at 18:09

            The issue could be related to the structure of output of t.test. It is a list. If we extract the components i.e. p.value or estimate it would work

            Source https://stackoverflow.com/questions/64613603

            QUESTION

            How do you draw a straight line tangent to smoothed curve in R?
            Asked 2020-Oct-20 at 09:39

            I am trying to draw a straight line from origin (or any point in Y-axis) that is tangent to a loess curve (a line that touches the curve only once).

            The black line is the smoothed curve of the points, and I wish to draw that yellow line.

            I will post my code to get the smoothed curve below.

            '''

            ...

            ANSWER

            Answered 2020-Oct-20 at 09:39

            I tried running your data and d wasn't defined in the code so was not able to reproduce your example.

            Using geom_abline you can add a line with the own intercept and slope if you know these dimensions.

            Source https://stackoverflow.com/questions/64441881

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

            Vulnerabilities

            No vulnerabilities reported

            Install timetk

            Download the development version with latest features:.
            API Documentation for articles and a complete list of function references.
            Visualizing Time Series
            Wrangling Time Series
            Full Time Series Machine Learning and Feature Engineering Tutorial
            API Documentation for articles and a complete list of function references.

            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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