valiant | A Laravel 6 admin panel package | Web Framework library

by kdion4891 PHP Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | valiant Summary

valiant is a PHP library typically used in Server, Web Framework, Laravel applications. valiant has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Valiant is a Laravel 6 admin panel package which promotes rapid development with high customization capabilities. It includes a model scaffolding command, expressive field & action declaration, Laravel auth integration, user roles, activity logs, AJAX form & modal support, automatic user timezones, and more.

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Quality

Security

License

Reuse

Support

valiant has a low active ecosystem.

It has 136 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 15 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of valiant is current.

Quality

valiant has 0 bugs and 0 code smells.

Security

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

valiant code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

valiant is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions, examples and code snippets are available.

valiant saves you 476 person hours of effort in developing the same functionality from scratch.

It has 1121 lines of code, 128 functions and 77 files.

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

Top functions reviewed by kandi - BETA

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

Create table view .
Bootstrap the application .
Insert nav item .
Handle file delete .
Change the user s password
Add rules for an action
Create the log table .
Save a profile .
Create a new log entry .
Set input view .

Get all kandi verified functions for this library.

valiant Key Features

No Key Features are available at this moment for valiant.

valiant Examples and Code Snippets

No Code Snippets are available at this moment for valiant.

Community Discussions

Trending Discussions on valiant

bind_cols() dataframe on the left hand side in dplyr

How do you retrieve the estimation sample in R?

Multiply two matrices (sumproduct for multiple functions) - to get Fishers discriminant linear function scores

convert colnames() into a new row

Plot seaborn boxplot for multiple columns and compare with a standard scale

Extracting data out of pyspark DataFrame

Could I get the choices of a SelectInput in the ui from a reactive function in server? (RShiny)

How to find top n common elements in a list?

How to sample a data.frame to minimise correlation between selected columns?

Obsolete data mask. Too late to resolve `xxxxxx` after the end of `dplyr::mutate()`

QUESTION

bind_cols() dataframe on the left hand side in dplyr

Asked 2021-Jun-13 at 15:33

I am wondering if there's a way to bind a dataframe on the left hand side instead of putting them on the right hand side through dplyr(). This is because when I am working on a long dplyr() cleaning on the second dataset and the final step is to bind the dataset to the first dataset (main dataset). If I use bind_cols(), the second dataset is always joined on the right hand side. Is there a way I can force the first dataset to join on the left hand side of the second dataset in a long dplyr script.

Obviously, I can make one line syntax indepdently and start with the first dataset and use bind_cols() to bind it with the second dataset. I am just wondering if there's anyting I can do at the end of a long dplyr script?

...

ANSWER

Answered 2021-Jun-13 at 15:33

See Introducing magrittr:

When the LHS is needed at a position other than the first, one can use the dot,., as placeholder.

Try:

Source https://stackoverflow.com/questions/67959785

QUESTION

How do you retrieve the estimation sample in R?

Asked 2021-Jun-09 at 14:57

I would like to obtain the estimation sample from a model object, i.e. the observations that were not dropped due to missing values. This seems to be simple for standard lm regressions (using case.names()) but less so for more recent packages such as fixest.

Is there any general way to access the estimation sample, irrespective of the package used for estimation?

My attempts for both lm and fixest objects are:

...

ANSWER

Answered 2021-Jun-09 at 14:57

Generic function case.names has no method written for objects of class "fixest". The solution is to look at str(mod_fe) and write your own method.

Source https://stackoverflow.com/questions/67905676

QUESTION

Multiply two matrices (sumproduct for multiple functions) - to get Fishers discriminant linear function scores

Asked 2021-May-28 at 16:28

I have a set of Fisher's discriminant linear functions that I need to multiply against some test data. Both data files are in the form of two matrices (variables lined up to match variable order), so I need to multiply them together.
Here is some example test data, which I've added a constant=1 variable (you'll see why when you we get to the coefficients)

...

ANSWER

Answered 2021-May-28 at 16:28

Are you just looking for the inner product?

Source https://stackoverflow.com/questions/67742418

QUESTION

convert colnames() into a new row

Asked 2021-May-15 at 16:57

I have a dataset as below and I want to create a new row that contains the values of colnames(df). Many thanks in advance.

...

ANSWER

Answered 2021-May-15 at 16:57

rbind is what you need:

Source https://stackoverflow.com/questions/67549206

QUESTION

Plot seaborn boxplot for multiple columns and compare with a standard scale

Asked 2021-May-14 at 05:30

I am a newbie in data analysis. I wish to know how to boxplot multiple columns (x-axis = Points, Score, Weigh) in a single graph and make the y-axis as a standardized scale for comparison. I have tried and couldn't understand the code (Python+Pandas+Seaborn) for this. Help me out guys. The dataset for the same is as follows:

Cars Points Score Weigh 0 Mazda RX4 3.90 2.620 16.46 1 Mazda RX4 Wag 3.90 2.875 17.02 2 Datsun 710 3.85 2.320 18.61 3 Hornet 4 Drive 3.08 3.215 19.44 4 Hornet Sportabout 3.15 3.440 17.02 5 Valiant 2.76 3.460 20.22 6 Duster 360 3.21 3.570 15.84 7 Merc 240D 3.69 3.190 20.00 8 Merc 230 3.92 3.150 22.90 9 Merc 280 3.92 3.440 18.30 10 Merc 280C 3.92 3.440 18.90 11 Merc 450SE 3.07 4.070 17.40 12 Merc 450SL 3.07 3.730 17.60 13 Merc 450SLC 3.07 3.780 18.00 14 Cadillac Fleetwood 2.93 5.250 17.98 15 Lincoln Continental 3.00 5.424 17.82 16 Chrysler Imperial 3.23 5.345 17.42 17 Fiat 128 4.08 2.200 19.47 18 Honda Civic 4.93 1.615 18.52 19 Toyota Corolla 4.22 1.835 19.90 20 Toyota Corona 3.70 2.465 20.01 21 Dodge Challenger 2.76 3.520 16.87 22 AMC Javelin 3.15 3.435 17.30 23 Camaro Z28 3.73 3.840 15.41 24 Pontiac Firebird 3.08 3.845 17.05 25 Fiat X1-9 4.08 1.935 18.90 26 Porsche 914-2 4.43 2.140 16.70 27 Lotus Europa 3.77 1.513 16.90 28 Ford Pantera L 4.22 3.170 14.50 29 Ferrari Dino 3.62 2.770 15.50 30 Maserati Bora 3.54 3.570 14.60 31 Volvo 142E 4.11 2.780 18.60

My output should look something like: Output Boxplot Graph

...

ANSWER

Answered 2021-May-14 at 04:20

boxplot = df.boxplot(column=['Points', 'Score', 'Weight'])

might work here

Source https://stackoverflow.com/questions/67528790

QUESTION

Extracting data out of pyspark DataFrame

Asked 2021-Apr-29 at 20:29

I have a result DF that looks like this:

...

ANSWER

Answered 2021-Apr-29 at 20:29

Try with filter and then groupBy+ aggregate

Source https://stackoverflow.com/questions/67324505

QUESTION

Could I get the choices of a SelectInput in the ui from a reactive function in server? (RShiny)

Asked 2021-Apr-08 at 07:48

I have created a reactive function in the server to get a list of elements. The idea is to show each element of the list as a individual choice in the ui, just like selectInput does in the ui.

I wrote an example with mtcars.

...

ANSWER

Answered 2021-Apr-08 at 07:48

Generate the selectInput on the server side.

Source https://stackoverflow.com/questions/66999429

QUESTION

How to find top n common elements in a list?

Asked 2021-Apr-01 at 03:28

I am relatively new to R and I am trying to find the top 3 elements in the data frame in a list. For example, I have a list like this

...

ANSWER

Answered 2021-Apr-01 at 01:39

I think this is what is desired. You are gathering the rownames of those list items, tabulating and sorting.

Source https://stackoverflow.com/questions/66897213

QUESTION

How to sample a data.frame to minimise correlation between selected columns?

Asked 2021-Mar-20 at 15:12

I am trying to subsample a data.frame in a way that the sample would have observations that capture as much variation as possible among a set of columns of the original data.frame.

An example with the mtcars dataset: I'd like to find 3 cars that are the most different from each other by mpg, vs and carb. Looking at the data visually, it would probably be Toyota Corolla (high mpg, vs 1, low carb), Cadillac Fleetwood (low mpg, vs 0, medium carb) and either Maserati Bora (low-med mpg, vs 0, high carb) or Ferrari Dino (medium mpg, vs 0, med-high carb):

...

ANSWER

Answered 2021-Mar-20 at 15:12

I am not exactly sure if this is what you are looking for, but here it goes:

calculate a distance matrix, giving you information about how "far away" each car is from all other cars, based on all the attributes they have (the default for dist() is eucledian, which you can change).
Then take the rowsums or colsums (same thing) from that matrix, which just sums up for each car what the combined distance to all other cars is.
Then isolate those cars with the biggest distances (here, we want 3 cars)
Finally subset your dataframe to only include those cars:

Source https://stackoverflow.com/questions/66675917

QUESTION

Obsolete data mask. Too late to resolve `xxxxxx` after the end of `dplyr::mutate()`

Asked 2021-Mar-13 at 14:37

As part of my answer to this post, I suggested a completely generic mechanism by which one data frame could be filtered by conditions stored in another. The OP has called me out (damn!) and asked me for an implementation.

My solution requires me to store functions in the filter dataframe. This is possible: this post shows how.

As a basic example, consider

...

ANSWER

Answered 2021-Mar-13 at 14:37

Your problem is that all options of case_when are always evaluated and checked for correct output format

Source https://stackoverflow.com/questions/66614397

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

Vulnerabilities

No vulnerabilities reported

Install valiant

Create a new Laravel app via Composer:. Configure your .env file with your app name, URL, database, & mail server.
Make scaffolding for a new model:.
Learn more in the docs

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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