kinship | web app for storing and organizing info | State Container library

 by   ezekielp JavaScript Version: Current License: No License

kandi X-RAY | kinship Summary

kandi X-RAY | kinship Summary

kinship is a JavaScript library typically used in User Interface, State Container applications. kinship has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A web app for storing and organizing info about friends and family
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              kinship has a low active ecosystem.
              It has 17 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              kinship has no issues reported. There are 17 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kinship is current.

            kandi-Quality Quality

              kinship has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              kinship releases are not available. You will need to build from source code and install.
              kinship saves you 616 person hours of effort in developing the same functionality from scratch.
              It has 1434 lines of code, 0 functions and 80 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of kinship
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            kinship Key Features

            No Key Features are available at this moment for kinship.

            kinship Examples and Code Snippets

            No Code Snippets are available at this moment for kinship.

            Community Discussions

            QUESTION

            How to make simulation faster?
            Asked 2021-May-13 at 10:35

            I'm making a python simulation for kinship analysis. The input is EIGENSTRAT .geno file, contains 0 and 2 numbers, 1.2 million per sample. I want to simulate "bad" positions, so randomly (according to a variable) put position to 9, what is "missing snp" in eigenstrat.

            My problem, that somehow it's really slow. For 1 sample, with one probability factor it takes ~1900 sec, but I want to make around 1500 simulations. This code is for debugging mode. How can I make it faster? I tried using numba, but it only saves me ~100 sec.

            ...

            ANSWER

            Answered 2021-May-13 at 10:25

            You want to set with a probability of p one element in each column of a array to 9:

            Source https://stackoverflow.com/questions/67517146

            QUESTION

            Finding pairs of latitude and longitude within a certain radius in Python
            Asked 2021-Mar-05 at 10:03

            Given a dataframe df as follows:

            ...

            ANSWER

            Answered 2021-Mar-04 at 09:22

            Idea is create mask for not 0 values and less like 5km, then use DataFrame.dot for matrix multiplication nas last use Series.str.split for new columns joined to original:

            Source https://stackoverflow.com/questions/66470898

            QUESTION

            How to return 0 by default if column value not exists in table
            Asked 2020-Aug-18 at 11:40

            I have a table with columns amount and feehead

            ...

            ANSWER

            Answered 2020-Aug-18 at 11:06

            If you have a table containing all possible feehead, you can LEFT JOIN like shown below. This will give you all feeheads that do not have a value and those that do.

            Source https://stackoverflow.com/questions/63466797

            QUESTION

            The below dynamic SQL fails but works fine when I run it manually
            Asked 2020-Mar-15 at 20:40

            I'm running this SQL statement built into a string using sp_executesql but it always fails with this error:

            Msg 103010, Level 16, State 1, Line 1
            Parse error at line: 4, column: 1: Incorrect syntax near 'GO '.

            Here's the code:

            ...

            ANSWER

            Answered 2020-Mar-15 at 17:38

            sp_executesql can only execute single TSQL batches. So you'll have to execute each batch seperately, eg:

            Source https://stackoverflow.com/questions/60695522

            QUESTION

            filtering rows in data.frame where column values are inconsistent
            Asked 2019-Oct-09 at 16:44

            I'm trying to filter a data.frame with family information. It looks like this:

            ...

            ANSWER

            Answered 2019-Oct-09 at 09:45

            One dplyr possibility could be:

            Source https://stackoverflow.com/questions/58301191

            QUESTION

            Deriving 3rd parties kinship relations from a biunivocal relations dataframe in R
            Asked 2019-Apr-28 at 20:50

            I have a table showing bi-univocal kinship relations. In other words, I may have a first row showing the record of a father who has a son, and in the next line, this son shows his relation with his father. But, the father may have another son (son2), so we have another two entries in the table showing the father related to his son2, and son2 linked to the common father. The problem arises when the relation between the two sons does not appear in the table. There is no entry showing son1 is the brother of son2, and I need to derive this from the table. This is my goal, and every individual in the table, has a unique identifier.

            What I've been trying to do so far is:

            a) To create a list of all the possible kinship roles (in my simplified example above, there would only be 2 roles: father and son).

            b) To subset the original table into as many groups as roles are there. As any individual in my example could be a son and/or a father, I create two groups of data. These groups are the elements of a list, so, in other words I created a list by subsetting the roles of the records. In this example, the list has two elements: one for the records where the second person is a son of the first, and another element showing the entries whose second person is a father of the first.

            c) My idea was also to subset the previous (two) elements of the list by the first person´s ID. This way, my goal was to create groups of each given ID with all the relations they have. For instance, in our example, we would obtain a group for one ID (the father) formed by two rows: the records of son1 and son2.

            d) Once here, the previous subgroup shows that son1 and son2, are brothers. As, again, this is not reported in the original table, my purpose is to derive it through coding creating two new records in the original table which would show that son1 has a brother son2, and son2 has a brother son1.

            Given that my dataframe is df and that the variable role of the second person in the relation is Role_2nd, step a) is simple:

            ...

            ANSWER

            Answered 2019-Apr-28 at 20:50

            Consider using a relational database that properly normalizes your relations with an integrated Families relation where your desired result is simply a self-join query on Persons.

            Specifically, create the following relations with one-to-many relationship between Families and Persons each at granular level in a relational database such as SQLite (free, open-source, file-level) that R can connect to using RSQLite. Below the role in Persons is the absolute (not relative) role in context of whole family such as the grandfather being identified.

            Source https://stackoverflow.com/questions/55871072

            QUESTION

            R, python, reticulate, and limmbo: cast array 'float64' to 'int64' error
            Asked 2018-Mar-23 at 01:23

            I am trying to use the python module limmbo (https://github.com/HannahVMeyer/limmbo) with R via the reticulate R package. I have successfully installed limmbo with Anaconda2. I'm now trying to use the function limmbo$core$vdbootstrap$LiMMBo$runBootstrapCovarianceEstimation, as in my code below. When I run the code below, I get an error about converting a float64 to an integer64.

            ...

            ANSWER

            Answered 2018-Mar-23 at 01:23

            First of all, import you numpy module via np <- import("numpy", convert = FALSE).

            And then you can re-create your numpy array with explicit type int64 by using reticulate::np_array(datainput, dtype = np$int64).

            You can learn more about how to manipulate and create your arrays in this tutorial.

            Hope this helps.

            Source https://stackoverflow.com/questions/49412132

            QUESTION

            Python Selenium XPath Traceback Error
            Asked 2018-Feb-26 at 18:10

            I am getting an error with selenium's find_element_by_xpath. This is the error I'm getting:

            ...

            ANSWER

            Answered 2018-Feb-26 at 18:10

            If you are using contains(), provide the bare minimum to ensure a unique text match. Hint: any extraneous characters can bite you.

            Try your locator out in the browser using the console in the dev tools. $$("css selector here") or $x("xpath here"). If it returns your element, you're locked and loaded. If not, adapt and overcome.

            Here is another useful method of troubleshooting:

            Source https://stackoverflow.com/questions/48956802

            QUESTION

            Linear Mixed Effects Model not finishing in R
            Asked 2017-May-04 at 10:52

            I have a problem with a linear mixed effects model not completing in R.

            I use the package lmekin to run the model, as I am fitting a kinship matrix as a random effect. The formula I am using is:

            model <- lmekin(disease ~ score + age + (1|IID), data=phenotype_df, varlist=kinship_mx)

            phenotype_df is a dataframe, with 12000 individuals, each with a disease status (1 or 0), a score and their age. (Note: I am treating the disease status here as quantitative). kinship_mx is a kinship matrix, ie. a positive-definite matrix (12000x12000) with diagonals ~0.5.

            This model runs in around 1 minute when I use ~1000 individuals. However, I left the model to run with all 12000 individuals on our large server and it has not finished after 5 days. Could anyone suggest a reason as to why this is happening and if there are any solutions to enable the model to complete?

            ...

            ANSWER

            Answered 2017-May-04 at 10:52

            Just to answer this question - they finished after three weeks. It just takes a long time.

            Source https://stackoverflow.com/questions/43585732

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

            Vulnerabilities

            No vulnerabilities reported

            Install kinship

            You can download it from GitHub.

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            https://github.com/ezekielp/kinship.git

          • CLI

            gh repo clone ezekielp/kinship

          • sshUrl

            git@github.com:ezekielp/kinship.git

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