matrixStats | R package : Methods that Apply to Rows and Columns | Build Tool library
kandi X-RAY | matrixStats Summary
kandi X-RAY | matrixStats Summary
The matrixStats package provides highly optimized functions for computing common summaries over rows and columns of matrices, e.g. rowQuantiles(). There are also functions that operate on vectors, e.g. logSumExp(). Their implementations strive to minimize both memory usage and processing time. They are often remarkably faster compared to good old apply() solutions. The calculations are mostly implemented in C, which allow us to optimize beyond what is possible to do in plain R. The package installs out-of-the-box on all common operating systems, including Linux, macOS and Windows.
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Trending Discussions on matrixStats
QUESTION
I have the shiny app below in which I try to present a descriptives table but my app breaks down with error:
...ANSWER
Answered 2022-Mar-18 at 16:53In the code, there are places where the OP specified ,
at the end of a line e.g.
QUESTION
I have a function that I need to run on 2000 data frames. Each iteration is taking a very long time i.e almost 40 minutes and hence I'm using the 'foreach' package in R. I have generated the data in the following way:
...ANSWER
Answered 2022-Feb-17 at 15:10I don't believe you should be trying to modify a global variable from within each worker. See my comment above and link. You shouldn't be checking within iteration process if 500 iterations have convergence=0, because that information is not available to each iteration. The below is one option to return what you want
QUESTION
I want to create a function which helps characterise the results to some simulations. For the purposes of this post let the simulation function be:
...ANSWER
Answered 2022-Feb-01 at 18:38I think using a multidimensional array is a very good idea in this case.
First, you can get the simulations of example_sim()
much cheaper using mapply()
. Here an example with time=10
and npops=3
. Use the same set.seed(42)
and parameters and check for yourself.
I use much smaller parameters here so that you can easily check the result in your head.
QUESTION
I have downloaded Proteome Profiling data from the TCGA-LGG project with the Bioconductor package TCGAbiolinks
.
Then I have the following error when running GDCprepare
:
ANSWER
Answered 2021-Nov-16 at 07:31Support for proteome profiling has been provided in the package. To obtain the newest version the package should be installed from Github with the following command BiocManager::install("BioinformaticsFMRP/TCGAbiolinks")
(see here).
QUESTION
I have a matrix and would like to do the following:
- Remove all rows containing "Z" more than once
- Remove all rows containing at least two occurrences of "S" in direct neighbor columns
- Remove all rows in which "2D" exists not only once and in which "1D" is not or not only once being present in a more left column (lower column number)
Here is a MWE with explanation:
...ANSWER
Answered 2021-May-13 at 12:11You can try with this custom function :
QUESTION
I'm trying to calculate the 1st and 3rd quartiles for each row in my data frame and save them as new columns. I tried using matrixStats::rowQuantiles, but it gives an NA value for the row containing NAs even though I set na.rm=TRUE to remove NAs before calculating.
I also noticed that the values for Q1 and Q3 are the same for each row. It's more likely that I'm using the function wrong than that these are actually the same, but I can't figure out what I'm doing wrong.
Thanks in advance!
...ANSWER
Answered 2021-Apr-07 at 21:06The reason is that as.matrix(df[,]
doesn't have a closing )
after the df[,])
If we change the code to
QUESTION
It is a very simple task to replace NAs with medians by column. But how to replace NA values with a row median? I tried matrixStats::rowMedians
and it does not work.
Sample:
...ANSWER
Answered 2021-Mar-17 at 11:44If you want to stay in tidyverse
one way would be to reshape the data :
QUESTION
I'm observing a very strange behaviour with R.
The following code works when I type it in line-by-line into an instance of R run from my terminal. (OS is Debian Linux.)
However it does not work when I try and run source("script.R")
.
It also does not work from within R Studio.
Specifically, it fails to produce graphical output with autoplot
. Writing to pdf file does not work, and if I remove the pdf()
and dev.off()
lines, no window containing the figure is opened.
Here's a copy of my script...
...ANSWER
Answered 2021-Mar-14 at 16:16change it to:
QUESTION
I'm confused by the coefficients produced by the output of lm
Here's a copy of the data I'm working with
...ANSWER
Answered 2021-Mar-13 at 15:51It is easiest to use the predict
function to create your line. To do that, you pass the model and a data frame with the desired independent variables to the predict
function.
QUESTION
hope someone can help with this one:
My code below was returning a dinamic table as I intend, but when I created the for loop to assign individually random numbers to each [k,p] position in the table all the calculations stop and I see an empty UI.
If instead of
rv$MCProbTable[[k,p]] = round(as.numeric(stats::runif(1,0,100)), 3)
I use for example
rv$MCProbTable[[k,p]] = 2
I see "2" allocated in each position in the table, what is close to what I want and shows that everything is working up to the runif application. So is it an issue with the function? Or most likely it is the reactive for loop that isn't set properly?
Thanks and hope this is an easy one!
...ANSWER
Answered 2021-Mar-11 at 03:53In your for
loop, use isolate()
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