prospectr | R package : Misc . | Data Manipulation library

by l-ramirez-lopez R Version: v0.2.6 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | prospectr Summary

prospectr is a R library typically used in Utilities, Data Manipulation, Numpy applications. prospectr has no bugs, it has no vulnerabilities and it has low support. However prospectr has a Non-SPDX License. You can download it from GitHub.

This version: 0.2.4 - mandarina - (this version fixes a bug in the read_nircal() function). prospectr is becoming more and more used in spectroscopic applications, which is evidenced by the number of scientific publications citing the package. This package is very useful for singal processing and chemometrics in general as it provides various utilities for pre--processing and sample selection of spectral data. While similar functions are available in other packages, like signal, the functions in this package works indifferently for data.frame, matrix and vector inputs. Besides, several functions are optimized for speed and use C++ code through the Rcpp and RcppArmadillo packages.

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Quality

Security

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Support

prospectr has a low active ecosystem.

It has 29 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 9 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of prospectr is v0.2.6

Quality

prospectr has no bugs reported.

Security

prospectr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

prospectr has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

prospectr releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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prospectr Key Features

No Key Features are available at this moment for prospectr.

prospectr Examples and Code Snippets

prospectr,Citing the package

Lines of Code : 7

License : Non-SPDX (NOASSERTION)

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@Manual{stevens2022prospectr,
   title = {An introduction to the prospectr package},
   author = {Antoine Stevens and Leornardo Ramirez-Lopez},
   publication = {R package Vignette},
   year = {2022},
   note = {R package version 0.2.3},
 }

Community Discussions

Trending Discussions on prospectr

Error while running CNN for 1 dimensional data in R

How to Savitzky-Golay filtering for more than one sample/column (R)

Importing and pivoting multiple CSV files and embedding as variable in data table

QUESTION

Error while running CNN for 1 dimensional data in R

Asked 2020-Oct-14 at 10:55

I am trying to run 1 dimensional CNN in R using keras package. I am trying to create one-dimensional Convolutional Neural Network (CNN) architecture with the following specification

...

ANSWER

Answered 2020-Oct-14 at 10:55

You have too many Max-Pooling layers, the max pooling layer reduces the dimension of the inputted vector by factor of its parameter.

Try to reduce the pool_size parameters , or alternatively remove the last 2 max-pooling layers. A value you can try is pool_size=2 for all layers.

As for the parameters you should learn of the meaning of them: Here you can find an explanation of the convolution layer and max pooling layer parameters like filters , kernel size and pool size: Convolutional layer

The dropout layer is a regularization which maximize the effectiveness of the layer weights , every epoch it zeroes different percent (size of "rate" parameter) of the weights . the larger the rate - you have less overfitting but training time is longer. learn about it here: Dropout layer

The units is the size of the Fully Connected layer. Fully Connected layer

The input shape is a dimensions of your data, when the number of records does not count. In 1d vectors it is (N,C) when N is the vector length and C is number of channels you have, if you have 1 channel it is (N,1). In 2d vectors it is (Height,Width,Channels).

Source https://stackoverflow.com/questions/64311427

QUESTION

How to Savitzky-Golay filtering for more than one sample/column (R)

Asked 2020-Aug-10 at 22:50

I would like to apply a Savitzky-Golay filter (prospectr package) to a dataset. However, all the examples available run the filter for only one sample (curve with a determined number of wavelengths). Is there anyway I can filter the data of more samples (70 samples) at once?

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ANSWER

Answered 2020-Aug-10 at 22:50

Usually spectral data matrices are organized with observations (samples) in rows and (spectral) variables in columns. The savitzkyGolay function does work for multiple observations. A proper way to call the function for your data is:

Source https://stackoverflow.com/questions/63341467

QUESTION

Importing and pivoting multiple CSV files and embedding as variable in data table

Asked 2020-Jul-05 at 14:06

I need to import multiple csv files each containing 2 columns - wavenumber and intensity, but no headers. Each file contains the same wavelengths. The code below imports the files as a list of dataframes, keeping the original column structure.

However, I would like to pivot_wide each file so that columns are individual wavenumbers and intensity is the value, but I have not seen anyone pivoting in a for loop.

Finally, I would like to construct a data table in which the pivoted spectral data is embedded in one variable. The aim is something similar to the NIRsoil data in the prospectr package, or the gasoline data in the pls package.

...

ANSWER

Answered 2020-Jul-05 at 14:06

We can make a toy example of the myfiles data structure like this:

Source https://stackoverflow.com/questions/62740416

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prospectr

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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