Peroxide | Rust numeric library with R , MATLAB & Python syntax | Analytics library
kandi X-RAY | Peroxide Summary
kandi X-RAY | Peroxide Summary
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python like macros.
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Peroxide Examples and Code Snippets
Community Discussions
Trending Discussions on Peroxide
QUESTION
I'm trying to load a dataset into R Studio, where the dataset itself is space-delimited, but it also contains spaces in quoted text like in csv files. Here is the head
of the data:
ANSWER
Answered 2022-Mar-30 at 14:37Parsing the data using python pandas.read_csv(filename, sep='\t', header = 0, ...)
seems to have parsed the data successfully and from this point anything could be done with it. Closing this out.
QUESTION
I have the dataframe below:
...ANSWER
Answered 2022-Mar-13 at 23:22One option would be to aggregate your data before plotting:
QUESTION
I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:
...ANSWER
Answered 2021-Dec-17 at 17:31To solve your specific issue, you can generate dummy variables to run your desired clustering.
One way to do it is using the dummy_columns()
function from the fastDummies
package.
QUESTION
I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).
Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?
Original data frame new data frame for imputed variables
This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?
...ANSWER
Answered 2021-Dec-14 at 22:53Updated
As @dcarlson recommended, you can run mice
on the entire dataframe, then you can use complete
to get the whole output dataframe. Then, you can join the new data with your original dataframe.
QUESTION
I have a JSON array like this:
...ANSWER
Answered 2021-Nov-18 at 13:09I think this is very simple just if you update your functions like this
QUESTION
I got hmmd_prm
table that is:
ANSWER
Answered 2021-Apr-28 at 15:14You could normalize hmmd_prm so it becomes an intersecting table (many to many). You haven't given enough information about the data to know if this would work. You may also need a position column with values 1 to 10 if the prm1, prm2, etc has any significance.
QUESTION
I have this accordion in elementor that populates info from Woocommerce products:
...ANSWER
Answered 2021-Mar-16 at 18:36Just a little tweak to your code.
QUESTION
I'm working in Python with a dataframe by_year, which has columns payee, payment_date and amount. To calculate the sum of the amount totals for each month of the year, I ran the following line of code 12 times for each month
...ANSWER
Answered 2020-Nov-26 at 04:34Assuming your date column can be coerced to a pandas timestamp:
QUESTION
I wish to create a data.frame with two columns, and each column contains multiple columns. (I need it to feed plsr in the pls package)
It's like the oliveoil data.
...ANSWER
Answered 2020-Feb-14 at 05:14The pls::plsr()
function does not require data to be set up exactly like oliveoil
. plsr()
allows the response term to be a matrix, and oliveoil
has a particular way of storing matrices, but you can supply any matrix to plsr()
.
For example, this fits a model without error:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Peroxide
Default [dependencies] peroxide = "0.30"
OpenBLAS [dependencies.peroxide] version = "0.30" default-features = false features = ["O3"]
Plot [dependencies.peroxide] version = "0.30" default-features = false features = ["plot"]
NetCDF dependency for DataFrame [dependencies.peroxide] version = "0.30" default-features = false features = ["nc"]
CSV dependency for DataFrame [dependencies.peroxide] version = "0.30" default-features = false features = ["csv"]
OpenBLAS & Plot & NetCDF [dependencies.peroxide] version = "0.30" default-features = false features = ["O3", "plot", "nc", "csv"]
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