pastec | Image recognition open source index and search engine | Search Engine library

by magwyz C++ Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(9)Vulnerabilities Install Support

kandi X-RAY | pastec Summary

pastec is a C++ library typically used in Database, Search Engine applications. pastec has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Image recognition open source index and search engine

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Support

pastec has a low active ecosystem.

It has 608 star(s) with 177 fork(s). There are 50 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 57 have been closed. On average issues are closed in 121 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pastec is current.

Quality

pastec has no bugs reported.

Security

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

License

pastec is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

pastec releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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pastec Key Features

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pastec Examples and Code Snippets

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Community Discussions

Trending Discussions on pastec

Fitting distributions with R

After using WDI API, how to easily remove rows of aggregated countries by string?

How to use stack() function correctly to extract marginal means of ANCOVA in R?

How to extract marginal means of multiple variables with effect() function?

Flexdashboard opens new tab with every user input

How do I sort the output of SessionInfo() in R?

How to use facet_grid() with geom_histogram()

How do I get a number of items in a filtered list?

Add descriptive statistics to a grouped dataset

QUESTION

Fitting distributions with R

Asked 2020-Sep-24 at 14:07

Good afternoon. I have a vector 'a' containing 16000 values. I get the descriptive statistics with the help of the following:

...

ANSWER

Answered 2020-Sep-19 at 15:37

This will all be due to anomalous values in a not represented by the histogram you've shown. This could be the cause of both the very high kurtotsis, and the vgFit() algorithm failing to find a good fit.

Type dput(a[abs(a) > 5e-4]) in the console and copy the output into your question. People then may be able to recreate aomething like the vector a without having to get all 16000 values and debug the vgFit issue.

Thanks for the extra data. There are some extreme values in there, but I don;t think those are what is causing the problem in vgFit. Fitting 4 parameters which can be almost any value is difficult, but you can help it along by rescaling your data to something typical. Try this:

Source https://stackoverflow.com/questions/63959980

QUESTION

After using WDI API, how to easily remove rows of aggregated countries by string?

Asked 2020-Aug-20 at 07:29

Well I have this:

...

ANSWER

Answered 2020-Aug-20 at 07:29

You could check the validity of the "iso2c" column. An easy way is to use countrycode(, , ) of the countrycode package.

Source https://stackoverflow.com/questions/63499764

QUESTION

How to use stack() function correctly to extract marginal means of ANCOVA in R?

Asked 2020-Jun-29 at 11:33

I'm a beginner of R, and I would like to extract marginal means from ANCOVA tests performed on over 200 outcome variables. It worked well when I only used stack() on only one outcome variable, but I got error when I use both stack() and lapply().

Here I use the built-in dataset "iris" to display the problem. The dataset "iris" has three levels at Species, and I use Petal.Width as covariate, Species as predictive variable, and the first three columns of variables as outcome variable.

My purpose is to extract multiple marginal means of the corresponding outcome variables at the same time rather than perform extraction one by one.

...

ANSWER

Answered 2020-Jun-29 at 11:33

I am not sure how you want your final expected output to look like.

Probably, you can try this approach :

Source https://stackoverflow.com/questions/62630818

QUESTION

How to extract marginal means of multiple variables with effect() function?

Asked 2020-Jun-28 at 16:12

I'm a beginner of R, and I would like to perform ANCOVA in a dataset with over 200 columns of outcome variables. The most important thing for me is to extract both p values and marginal means of these variables. I successfully extracted p values with the help of lapply() function, but when I extracted marginal means I got such error Error in eval(predvars, data, env) : object 'x' not found.

Here I use the built-in dataset "iris" as an example to display my problem.

...

ANSWER

Answered 2020-Jun-28 at 16:12

You get that error because the function effect() calls update() and tries to re-fit the model, and at that point, it cannot access your x anymore. (Ok maybe I did not explain that too well) You can read this book chapter to know how functions work.

Try to keep everything within the data.frame and instead provide the formula to fit a different variable:

Source https://stackoverflow.com/questions/62624192

QUESTION

Flexdashboard opens new tab with every user input

Asked 2019-May-02 at 06:27

I would like to ask for help with a Flexdashboard using Plotly and Shiny. The only thing now is that the app is throwing away browser tabs like there's no tomorrow. For every reactive input from the user, the app opens a new tab, where it does produce the correct output.

I've noticed that Flexdashboard, Plotly, and Shiny all work well for me. The problem seems to arise somewhere in their combination.

I would greatly appreciate some advice. The reproducible .Rmd script may be found on Github. It was deployed in about two minutes by using the code below:

...

ANSWER

Answered 2019-May-02 at 06:27

Just use renderPlotly() instead of renderPlot(). Found through these two other questions:

Source https://stackoverflow.com/questions/55914807

QUESTION

How do I sort the output of SessionInfo() in R?

Asked 2018-Jun-13 at 20:49

I want to sort the output of sessionInfo(). I tried doing it using lapply() but I am missing quite a few things.

For instance, when I tried this command:

...

ANSWER

Answered 2017-Jan-22 at 20:09

si <- sessionInfo()
si[] <- lapply(si, function(x) if (is.list(x)) x[sort(names(x))] else sort(x))
si

# R version 3.3.2 (2016-10-31)
# Platform: x86_64-apple-darwin13.4.0 (64-bit)
# Running under: OS X El Capitan 10.11.6
# 
# locale:
#   [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
# 
# attached base packages:
#   [1] base      datasets  graphics  grDevices methods   stats     utils    
# 
# loaded via a namespace (and not attached):
#   [1] tools_3.3.2

Source https://stackoverflow.com/questions/41794350

QUESTION

How to use facet_grid() with geom_histogram()

Asked 2017-Apr-14 at 20:02

I tried using the facet_grid() for the first time. I plotted histograms with my own data, and the distribution seemed inaccurate when I counted the boxes manually on the graph. I replicated my code using the mtcars data, and the problem seemed to persist.

Here is the histogram produced by ggplot:

...

ANSWER

Answered 2017-Apr-14 at 17:14

Not sure what caused this problem, but it seems to be solved by cleaning up and simplifying the ggplot code. In particular, ggplot2 is not designed to use column selection syntax such as dfrm$am or dfrm[, "am"] inside of the aes() function (nor in a formula expression like facet_wrap(. ~ dfrm[, "vs"])). Although these types of expressions often seem to work fine, in general they should be avoided.

Source https://stackoverflow.com/questions/43415709

QUESTION

How do I get a number of items in a filtered list?

Asked 2017-Mar-18 at 13:14

So, I have a filtering pipe and using it to filter a list of cities to show only those that include a search term.

...

ANSWER

Answered 2017-Mar-18 at 13:14

Did you try

Source https://stackoverflow.com/questions/42872768

QUESTION

Add descriptive statistics to a grouped dataset

Asked 2017-Mar-18 at 02:17

I have a table that has descriptive statistics created using stat.desc() from pastecs package. However, the challenge is that I had to combine these into a list form and then, I am unable to unlist it. I found R list to data frame thread, but I have to create a temporary data.frame to make this work. The actual data that I am dealing with is big, and doesn't really permit creating a temporary data frame.

Here's my code: [You will need pastecs package. It's already loaded on my system.]

...

ANSWER

Answered 2017-Mar-18 at 02:17

The output of stat.desc is a data.frame with row names. By converting that to a data.table using the keep.rownames = TRUE argument it can all be done in a single line of code (to produce a long format), and then dcast to the expected wide output:

Source https://stackoverflow.com/questions/42869455

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

Vulnerabilities

No vulnerabilities reported

Install pastec

You can download it from GitHub.

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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