kinship | web app for storing and organizing info | State Container library
kandi X-RAY | kinship Summary
kandi X-RAY | kinship Summary
A web app for storing and organizing info about friends and family
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of kinship
kinship Key Features
kinship Examples and Code Snippets
Community Discussions
Trending Discussions on kinship
QUESTION
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 10:25You want to set with a probability of p
one element in each column of a array to 9
:
QUESTION
Given a dataframe df
as follows:
ANSWER
Answered 2021-Mar-04 at 09:22Idea 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:
QUESTION
I have a table with columns amount
and feehead
ANSWER
Answered 2020-Aug-18 at 11:06If 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.
QUESTION
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 17:38sp_executesql
can only execute single TSQL batches. So you'll have to execute each batch seperately, eg:
QUESTION
I'm trying to filter a data.frame with family information. It looks like this:
...ANSWER
Answered 2019-Oct-09 at 09:45One dplyr
possibility could be:
QUESTION
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 20:50Consider 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.
QUESTION
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 01:23First 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.
QUESTION
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 18:10If 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:
QUESTION
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 10:52Just to answer this question - they finished after three weeks. It just takes a long time.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kinship
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page