fisher | A plugin manager for Fish | Plugin library
kandi X-RAY | fisher Summary
kandi X-RAY | fisher Summary
A plugin manager for Fish—the friendly interactive shell. Manage functions, completions, bindings, and snippets from the command line. Extend your shell capabilities, change the look of your prompt and create repeatable configurations across different systems effortlessly.
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fisher Key Features
fisher Examples and Code Snippets
Lines of Code : 4License : Permissive (MIT License)
Copy@Override
public Function, List> finisher() {
return i -> i;
} 
License : No LicenseCopy@Override
public Function finisher() {
return Function.identity();
} function df(){for(;;){ml(88),wl(267),hn();if(Al!=88)break}ml(220),wl(267),Xa()} Community Discussions
Trending Discussions on fisher
QUESTION
I'm trying to do a scale of effect analysis that uses the custom function found here: https://github.com/phuais/multifit/blob/master/multifit.R
It works fine for every list element of SAND_lc_list when I run each element separately, with no errors or warnings.
...ANSWER
Answered 2022-Apr-04 at 15:26If the foreach is not working, then loop over the sequence and extract the object
QUESTION
I'm trying to write a plugin for the fish shell but can't get it to work.
I have the following in a file called functions/codex.fish:
ANSWER
Answered 2022-Mar-28 at 18:52You don't need plugins to set up key bindings. Here is one way to do it:
- Create your function:
QUESTION
I have extracted time series from a few regions of interest in the brain (fMRI) and I have added pairwise correlation (Fisher-Z) values for each subject under columns corresponding the correlation between two nodes in the brain (for example: stim_lvis3, stim = stimulation site and lvis3= left visual network 3). Now, I would like to perform ANOVAs on this dataset to look at the effects and between/within group differences (3 groups x 3 timepoints). My data is already in long format.
*groups= ctbs [10 subjects x 3 timepoints], itbs = [10 subjects x 3 timepoints], and sham [10 subjects x 3 timepoints]
Any suggestions on how this can be done, given that I have 12 columns with connectivity values (stim_lvis3....stim_rpcc1). for example I have not been able to box plot the data faceted both by time and group?
How to perform a two-way mixed anova in this situation for all 12 columns for each group at a specific timepoints and then compare groups at each timepoint?
I converted subject, time and group to factors
...ANSWER
Answered 2022-Mar-25 at 16:12Welcome to SO! It's looks like you're new, but in the future to get great answers quickly, make sure you include sample data in a format that useable (i.e., the output from dput(head(myData))). Check it out: making R reproducible questions.
I know of two approaches to completing within and between ANOVA. The easier to implement version is from the package ez. The package jmv offers a much more complex write-up but you have an immense amount of control, as well. I'm sure there is more to ez's version, but I haven't worked with that package very much.
I created data to somewhat simulate what you are working with.
QUESTION
I am trying to create a function on my website so that users can click a "save" button on a particular row of this table that will pull up the innerHtml of the entire row element that they have selected and then Im going to put that info into another page for them as their saved hiking trails.
I have been trying to do this by adding click event listeners to the tables and then accessing the information of the table row through the target.
Does anyone know how I can access the inner html of the whole row and not just the cell that the save button is in?
Here is my html
...ANSWER
Answered 2022-Mar-24 at 14:04You can't give same id's to different elements in DOM but you can create your custom attributes. I created button-id for each button. Then used it to get the row that is clicked.
QUESTION
I have input data (df) for making 2*2 contingency table for each row.
...ANSWER
Answered 2022-Mar-21 at 15:17We could wrap the code into a function and then use rowwise and apply the function
QUESTION
I'm new to stackoverflow but have a question regarding my model.
My model consists of two breeds of agents (fishers and processors). Currently I have two fishers and two processors. Both breeds have a certain price-perception variable called: price-perception-fisher and price-perception-processor. Fishers go out fishing and once the ship is full (catch = 750) they return to one of the processors. This is done by this function:
...ANSWER
Answered 2022-Mar-11 at 17:47You are overcomplicating it: just make each turtle directly look into that processor's price perception. There is no need to take into account the values from all turtles and all processors.
There are a couple of ways to do this.
If it is absolutely and structurally certain that there will never be more than one processor per patch, you can do:
QUESTION
I am trying to use apply() on an array of matrices.
Here is an example:
ANSWER
Answered 2022-Mar-06 at 10:09Something like this:
Personally I do it this way:
First make a list UCB_list
then bind list elements to dataframe with rbindlist from data.table
finally, use lapply indicating the column y=df$Gender you want to iterate through:
QUESTION
I am working on ML problem, trying to compute the fisher score for feature selection purpose
...ANSWER
Answered 2022-Mar-03 at 13:46The inputs to the fisher_score method is expected a numpy array not a pandas dataframe/series.
Try this:
QUESTION
Im trying to parse data from woocommerce from linux console. Need to take only shipping info and item names with quantity.
im making curl request to wp-json/wc/v2/orders/ORDER_ID
then
jq '{order_id:.id,ship_info:.shipping,items: (.line_items[] | {name , quantity} ) }'
If order contains two items, jq will return two objects
example:
ANSWER
Answered 2022-Feb-16 at 16:50With your current jq query you are iterating over the items inside a generated object. That's why you receive one object per item. Rather than merging them afterwards, don't separate them in the first place.
If you changed your query from
QUESTION
I want to run mantelhaen.test in R which requires 2x2 contingency tables in 3D array form. These tables can be constructed by looping over each row of the dataframe, but I am trying to figure out if there is a vectorised way to do it - ie using apply(df[,c("col1","col2",etc), margin=1, array(x, c(2,2,11))) to make a 3D array for each row of the table (which would then be wrapped in mantelhaen.test).
I have previously got this to work using matrix() for fisher.test in R and Pandas, but in this case I am running into an issue where array() doesn't seem to have any effect on the data. Here is a reproducible example:
...ANSWER
Answered 2022-Feb-14 at 19:05With apply, there is simplify argument which is by default TRUE. Change it to FALSE and it works i.e. according to ?apply
If each call to FUN returns a vector of length n, and simplify is TRUE, then apply returns an array of dimension c(n, dim(X)[MARGIN]) if n > 1. If n equals 1, apply returns a vector if MARGIN has length 1 and an array of dimension dim(X)[MARGIN] otherwise.
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