jackknife | ⚔️ King of the Golden Wheel
kandi X-RAY | jackknife Summary
kandi X-RAY | jackknife Summary
⚔️ King of the Golden Wheel, oh no, Master Wheel will take you to play with Android, it's time to try MVVM. This is a family bucket library for Android application development, supporting Kotlin+MVVM+Dagger2+Retrofit architecture.
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jackknife Key Features
jackknife Examples and Code Snippets
def jackknife_estimator(datalist, function):
"""
Estimates the mean and standard deviation of a statistic using Jackknife (leave one out) method.
@param datalist: List containing the data
@param function: Function to process the leav
Community Discussions
Trending Discussions on jackknife
QUESTION
I am trying to calculate the jacknife average and error of each column in a multi-column file. My example data file look like this:
...ANSWER
Answered 2020-Dec-15 at 08:19This part of your code
QUESTION
I am making a shiny app to display different kind of panelplots from several r packages.
The app works as expected expect when i try to download the plot. Every time i download one of plot it turns out empty or it cannot be opened.
I have been trying for days to get it working but no luck. Hope anyone can help
...ANSWER
Answered 2019-May-06 at 07:13I don't know the rationale behind it, but changing the plotInput from a reactive to a static function and insert that into the output$panelplots did the trick
QUESTION
I' ve like to model training and predicting values using PLS model for more than one Y variables, but I have some problems when I try this approach, in my code below:
...ANSWER
Answered 2018-Nov-27 at 12:30You can either use two separate PLS-models make predictions and combine results into single data frame manually or make one (PLS2) model for both predictors. The second makes sense only if the response variables are correlated. Seems like there is no straightforward option for PLS2 regression in plsr
package. You can try:
Call
simpls.fit
method directly (although authors do not recommend this). See for example: https://www.rdocumentation.org/packages/pls/versions/2.7-0/topics/simpls.fit. In this case you can specify Y as a matrix or data frame with two columns.Use other package with PLS2, e.g. https://www.rdocumentation.org/packages/plspm/versions/0.2-2/topics/plsreg2
QUESTION
I'm having some mp4 videos in my raw folder now i want to pass those videos to my videoview using intent.put extra from activity A to activity B when user clicks on a item.
Here is my adapter class:
...ANSWER
Answered 2018-Oct-18 at 03:50You should not pass the whole video. Just pass video id (or video name, ...) and in activity B, just access raw
folder again to get the target video
In your adapter, pass the position:
QUESTION
I am using Maxent function in dismo package to create some species distribution models.
Normally this works:
...ANSWER
Answered 2018-Mar-20 at 17:18Funny, I found the solution right after I posted here. I could't find the answer online so, I'll post it here for anyone who has the same problem could solve it.
QUESTION
I have a DataFrame
in which the rows represent traffic accidents. Two of the columns are Weather
and Skidding
:
ANSWER
Answered 2017-Oct-29 at 17:45You can use isin
instead of ... in ... for ...
comprehension; Also no need to filter the data frame if you just need the number at the end, just build the conditions, sum
and divide
:
QUESTION
I'm using Maxent for some spatial analysis. I have a long script with many outputs that I collect in lists. It works just fine with a for loop and low resolution climatic predictors in a rasterstack (in my core i5, 6gb notebook) . But I need to use a high resolution set of rasters, and all the problems come from this issue. Even using a 16 core, 32gb virtual machine, the proccessing is veeeery slow, and after 3 days, memory is not enought and the run is closed after about 50 turns in my loop (which has 92 species). I'm trying to improve this script by collecting garbage to clean the memory and using doParallel. After the new script is cleanly running with the low resolution predictors, I'll try it with the high resolution predictors
So, I changed my script to use foreach
instead of for
, and with %dopar%
But so far, I'm getting this as result:
...ANSWER
Answered 2017-Sep-19 at 20:52You could call foreach
specifying a "collector" variable such as in:
results <- foreach(i=1:4, .packages=c("dismo","scales","rgdal","rgeos","rJava")) %dopar%
Then, before the end of the foreach loop you can collect all your result variable in a common list and return them:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install jackknife
You can use jackknife like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jackknife component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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