vignettes/brainstorm.knit.md
In ayushnoori/brainstorm: Personal Utility Functions
title: "Introduction to brainstorm"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{Introduction to brainstorm}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
About
The brainstorm package houses personal utility functions which I reuse in my R scripts. Please see some examples below.
library(brainstorm)
Excel Visualization
The brainstorm package contains my default settings for efficiently plotting tables in Excel worksheets (using the openxlsx package). In the following example, we consider the classic iris dataset using the add_worksheet() function, which itself depends upon several subfunctions. If the user desires finer control, these subfunctions could be called individually and in succession, and the default values for each of the arguments could thereby be modified.
# load package
library(openxlsx)
# create workbook
wb = createWorkbook()
sheet = "Iris Data"
# call function
add_worksheet(wb, sheet, iris)
# save workbook
saveWorkbook(wb, "Iris Data.xlsx", overwrite = TRUE)
The resulting example file can be downloaded below.
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" download="Iris Data.xlsx">Download Iris Data.xlsx</a>{=html}
Markdown Functions
show_table() is a utility function to show interactive tables within a markdown document, as shown below.
# show table
show_table(iris, height = "150px")
Sepal.Length
Sepal.Width
Petal.Length
Petal.Width
Species
5.1
3.5
1.4
0.2
setosa
4.9
3.0
1.4
0.2
setosa
4.7
3.2
1.3
0.2
setosa
4.6
3.1
1.5
0.2
setosa
5.0
3.6
1.4
0.2
setosa
5.4
3.9
1.7
0.4
setosa
4.6
3.4
1.4
0.3
setosa
5.0
3.4
1.5
0.2
setosa
4.4
2.9
1.4
0.2
setosa
4.9
3.1
1.5
0.1
setosa
5.4
3.7
1.5
0.2
setosa
4.8
3.4
1.6
0.2
setosa
4.8
3.0
1.4
0.1
setosa
4.3
3.0
1.1
0.1
setosa
5.8
4.0
1.2
0.2
setosa
5.7
4.4
1.5
0.4
setosa
5.4
3.9
1.3
0.4
setosa
5.1
3.5
1.4
0.3
setosa
5.7
3.8
1.7
0.3
setosa
5.1
3.8
1.5
0.3
setosa
5.4
3.4
1.7
0.2
setosa
5.1
3.7
1.5
0.4
setosa
4.6
3.6
1.0
0.2
setosa
5.1
3.3
1.7
0.5
setosa
4.8
3.4
1.9
0.2
setosa
5.0
3.0
1.6
0.2
setosa
5.0
3.4
1.6
0.4
setosa
5.2
3.5
1.5
0.2
setosa
5.2
3.4
1.4
0.2
setosa
4.7
3.2
1.6
0.2
setosa
4.8
3.1
1.6
0.2
setosa
5.4
3.4
1.5
0.4
setosa
5.2
4.1
1.5
0.1
setosa
5.5
4.2
1.4
0.2
setosa
4.9
3.1
1.5
0.2
setosa
5.0
3.2
1.2
0.2
setosa
5.5
3.5
1.3
0.2
setosa
4.9
3.6
1.4
0.1
setosa
4.4
3.0
1.3
0.2
setosa
5.1
3.4
1.5
0.2
setosa
5.0
3.5
1.3
0.3
setosa
4.5
2.3
1.3
0.3
setosa
4.4
3.2
1.3
0.2
setosa
5.0
3.5
1.6
0.6
setosa
5.1
3.8
1.9
0.4
setosa
4.8
3.0
1.4
0.3
setosa
5.1
3.8
1.6
0.2
setosa
4.6
3.2
1.4
0.2
setosa
5.3
3.7
1.5
0.2
setosa
5.0
3.3
1.4
0.2
setosa
7.0
3.2
4.7
1.4
versicolor
6.4
3.2
4.5
1.5
versicolor
6.9
3.1
4.9
1.5
versicolor
5.5
2.3
4.0
1.3
versicolor
6.5
2.8
4.6
1.5
versicolor
5.7
2.8
4.5
1.3
versicolor
6.3
3.3
4.7
1.6
versicolor
4.9
2.4
3.3
1.0
versicolor
6.6
2.9
4.6
1.3
versicolor
5.2
2.7
3.9
1.4
versicolor
5.0
2.0
3.5
1.0
versicolor
5.9
3.0
4.2
1.5
versicolor
6.0
2.2
4.0
1.0
versicolor
6.1
2.9
4.7
1.4
versicolor
5.6
2.9
3.6
1.3
versicolor
6.7
3.1
4.4
1.4
versicolor
5.6
3.0
4.5
1.5
versicolor
5.8
2.7
4.1
1.0
versicolor
6.2
2.2
4.5
1.5
versicolor
5.6
2.5
3.9
1.1
versicolor
5.9
3.2
4.8
1.8
versicolor
6.1
2.8
4.0
1.3
versicolor
6.3
2.5
4.9
1.5
versicolor
6.1
2.8
4.7
1.2
versicolor
6.4
2.9
4.3
1.3
versicolor
6.6
3.0
4.4
1.4
versicolor
6.8
2.8
4.8
1.4
versicolor
6.7
3.0
5.0
1.7
versicolor
6.0
2.9
4.5
1.5
versicolor
5.7
2.6
3.5
1.0
versicolor
5.5
2.4
3.8
1.1
versicolor
5.5
2.4
3.7
1.0
versicolor
5.8
2.7
3.9
1.2
versicolor
6.0
2.7
5.1
1.6
versicolor
5.4
3.0
4.5
1.5
versicolor
6.0
3.4
4.5
1.6
versicolor
6.7
3.1
4.7
1.5
versicolor
6.3
2.3
4.4
1.3
versicolor
5.6
3.0
4.1
1.3
versicolor
5.5
2.5
4.0
1.3
versicolor
5.5
2.6
4.4
1.2
versicolor
6.1
3.0
4.6
1.4
versicolor
5.8
2.6
4.0
1.2
versicolor
5.0
2.3
3.3
1.0
versicolor
5.6
2.7
4.2
1.3
versicolor
5.7
3.0
4.2
1.2
versicolor
5.7
2.9
4.2
1.3
versicolor
6.2
2.9
4.3
1.3
versicolor
5.1
2.5
3.0
1.1
versicolor
5.7
2.8
4.1
1.3
versicolor
6.3
3.3
6.0
2.5
virginica
5.8
2.7
5.1
1.9
virginica
7.1
3.0
5.9
2.1
virginica
6.3
2.9
5.6
1.8
virginica
6.5
3.0
5.8
2.2
virginica
7.6
3.0
6.6
2.1
virginica
4.9
2.5
4.5
1.7
virginica
7.3
2.9
6.3
1.8
virginica
6.7
2.5
5.8
1.8
virginica
7.2
3.6
6.1
2.5
virginica
6.5
3.2
5.1
2.0
virginica
6.4
2.7
5.3
1.9
virginica
6.8
3.0
5.5
2.1
virginica
5.7
2.5
5.0
2.0
virginica
5.8
2.8
5.1
2.4
virginica
6.4
3.2
5.3
2.3
virginica
6.5
3.0
5.5
1.8
virginica
7.7
3.8
6.7
2.2
virginica
7.7
2.6
6.9
2.3
virginica
6.0
2.2
5.0
1.5
virginica
6.9
3.2
5.7
2.3
virginica
5.6
2.8
4.9
2.0
virginica
7.7
2.8
6.7
2.0
virginica
6.3
2.7
4.9
1.8
virginica
6.7
3.3
5.7
2.1
virginica
7.2
3.2
6.0
1.8
virginica
6.2
2.8
4.8
1.8
virginica
6.1
3.0
4.9
1.8
virginica
6.4
2.8
5.6
2.1
virginica
7.2
3.0
5.8
1.6
virginica
7.4
2.8
6.1
1.9
virginica
7.9
3.8
6.4
2.0
virginica
6.4
2.8
5.6
2.2
virginica
6.3
2.8
5.1
1.5
virginica
6.1
2.6
5.6
1.4
virginica
7.7
3.0
6.1
2.3
virginica
6.3
3.4
5.6
2.4
virginica
6.4
3.1
5.5
1.8
virginica
6.0
3.0
4.8
1.8
virginica
6.9
3.1
5.4
2.1
virginica
6.7
3.1
5.6
2.4
virginica
6.9
3.1
5.1
2.3
virginica
5.8
2.7
5.1
1.9
virginica
6.8
3.2
5.9
2.3
virginica
6.7
3.3
5.7
2.5
virginica
6.7
3.0
5.2
2.3
virginica
6.3
2.5
5.0
1.9
virginica
6.5
3.0
5.2
2.0
virginica
6.2
3.4
5.4
2.3
virginica
5.9
3.0
5.1
1.8
virginica
Further, inspired by this GitHub issue, the repository for this package contains my custom CSS file for the R Markdown cayman theme in prettydoc, available for download below.
<a href="data:text/css;base64,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" download="custom.css">Download custom.css</a>{=html}
ayushnoori/brainstorm documentation built on April 14, 2025, 4:12 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
title: "Introduction to brainstorm" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Introduction to brainstorm} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8}
About
The brainstorm package houses personal utility functions which I reuse in my R scripts. Please see some examples below.
library(brainstorm)
Excel Visualization
The brainstorm package contains my default settings for efficiently plotting tables in Excel worksheets (using the openxlsx package). In the following example, we consider the classic iris dataset using the add_worksheet() function, which itself depends upon several subfunctions. If the user desires finer control, these subfunctions could be called individually and in succession, and the default values for each of the arguments could thereby be modified.
# load package
library(openxlsx)
# create workbook
wb = createWorkbook()
sheet = "Iris Data"
# call function
add_worksheet(wb, sheet, iris)
# save workbook
saveWorkbook(wb, "Iris Data.xlsx", overwrite = TRUE)
The resulting example file can be downloaded below.
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" download="Iris Data.xlsx">Download Iris Data.xlsx</a>{=html}
Markdown Functions
show_table() is a utility function to show interactive tables within a markdown document, as shown below.
# show table
show_table(iris, height = "150px")
Sepal.Length
Sepal.Width
Petal.Length
Petal.Width
Species
5.1
3.5
1.4
0.2
setosa
4.9
3.0
1.4
0.2
setosa
4.7
3.2
1.3
0.2
setosa
4.6
3.1
1.5
0.2
setosa
5.0
3.6
1.4
0.2
setosa
5.4
3.9
1.7
0.4
setosa
4.6
3.4
1.4
0.3
setosa
5.0
3.4
1.5
0.2
setosa
4.4
2.9
1.4
0.2
setosa
4.9
3.1
1.5
0.1
setosa
5.4
3.7
1.5
0.2
setosa
4.8
3.4
1.6
0.2
setosa
4.8
3.0
1.4
0.1
setosa
4.3
3.0
1.1
0.1
setosa
5.8
4.0
1.2
0.2
setosa
5.7
4.4
1.5
0.4
setosa
5.4
3.9
1.3
0.4
setosa
5.1
3.5
1.4
0.3
setosa
5.7
3.8
1.7
0.3
setosa
5.1
3.8
1.5
0.3
setosa
5.4
3.4
1.7
0.2
setosa
5.1
3.7
1.5
0.4
setosa
4.6
3.6
1.0
0.2
setosa
5.1
3.3
1.7
0.5
setosa
4.8
3.4
1.9
0.2
setosa
5.0
3.0
1.6
0.2
setosa
5.0
3.4
1.6
0.4
setosa
5.2
3.5
1.5
0.2
setosa
5.2
3.4
1.4
0.2
setosa
4.7
3.2
1.6
0.2
setosa
4.8
3.1
1.6
0.2
setosa
5.4
3.4
1.5
0.4
setosa
5.2
4.1
1.5
0.1
setosa
5.5
4.2
1.4
0.2
setosa
4.9
3.1
1.5
0.2
setosa
5.0
3.2
1.2
0.2
setosa
5.5
3.5
1.3
0.2
setosa
4.9
3.6
1.4
0.1
setosa
4.4
3.0
1.3
0.2
setosa
5.1
3.4
1.5
0.2
setosa
5.0
3.5
1.3
0.3
setosa
4.5
2.3
1.3
0.3
setosa
4.4
3.2
1.3
0.2
setosa
5.0
3.5
1.6
0.6
setosa
5.1
3.8
1.9
0.4
setosa
4.8
3.0
1.4
0.3
setosa
5.1
3.8
1.6
0.2
setosa
4.6
3.2
1.4
0.2
setosa
5.3
3.7
1.5
0.2
setosa
5.0
3.3
1.4
0.2
setosa
7.0
3.2
4.7
1.4
versicolor
6.4
3.2
4.5
1.5
versicolor
6.9
3.1
4.9
1.5
versicolor
5.5
2.3
4.0
1.3
versicolor
6.5
2.8
4.6
1.5
versicolor
5.7
2.8
4.5
1.3
versicolor
6.3
3.3
4.7
1.6
versicolor
4.9
2.4
3.3
1.0
versicolor
6.6
2.9
4.6
1.3
versicolor
5.2
2.7
3.9
1.4
versicolor
5.0
2.0
3.5
1.0
versicolor
5.9
3.0
4.2
1.5
versicolor
6.0
2.2
4.0
1.0
versicolor
6.1
2.9
4.7
1.4
versicolor
5.6
2.9
3.6
1.3
versicolor
6.7
3.1
4.4
1.4
versicolor
5.6
3.0
4.5
1.5
versicolor
5.8
2.7
4.1
1.0
versicolor
6.2
2.2
4.5
1.5
versicolor
5.6
2.5
3.9
1.1
versicolor
5.9
3.2
4.8
1.8
versicolor
6.1
2.8
4.0
1.3
versicolor
6.3
2.5
4.9
1.5
versicolor
6.1
2.8
4.7
1.2
versicolor
6.4
2.9
4.3
1.3
versicolor
6.6
3.0
4.4
1.4
versicolor
6.8
2.8
4.8
1.4
versicolor
6.7
3.0
5.0
1.7
versicolor
6.0
2.9
4.5
1.5
versicolor
5.7
2.6
3.5
1.0
versicolor
5.5
2.4
3.8
1.1
versicolor
5.5
2.4
3.7
1.0
versicolor
5.8
2.7
3.9
1.2
versicolor
6.0
2.7
5.1
1.6
versicolor
5.4
3.0
4.5
1.5
versicolor
6.0
3.4
4.5
1.6
versicolor
6.7
3.1
4.7
1.5
versicolor
6.3
2.3
4.4
1.3
versicolor
5.6
3.0
4.1
1.3
versicolor
5.5
2.5
4.0
1.3
versicolor
5.5
2.6
4.4
1.2
versicolor
6.1
3.0
4.6
1.4
versicolor
5.8
2.6
4.0
1.2
versicolor
5.0
2.3
3.3
1.0
versicolor
5.6
2.7
4.2
1.3
versicolor
5.7
3.0
4.2
1.2
versicolor
5.7
2.9
4.2
1.3
versicolor
6.2
2.9
4.3
1.3
versicolor
5.1
2.5
3.0
1.1
versicolor
5.7
2.8
4.1
1.3
versicolor
6.3
3.3
6.0
2.5
virginica
5.8
2.7
5.1
1.9
virginica
7.1
3.0
5.9
2.1
virginica
6.3
2.9
5.6
1.8
virginica
6.5
3.0
5.8
2.2
virginica
7.6
3.0
6.6
2.1
virginica
4.9
2.5
4.5
1.7
virginica
7.3
2.9
6.3
1.8
virginica
6.7
2.5
5.8
1.8
virginica
7.2
3.6
6.1
2.5
virginica
6.5
3.2
5.1
2.0
virginica
6.4
2.7
5.3
1.9
virginica
6.8
3.0
5.5
2.1
virginica
5.7
2.5
5.0
2.0
virginica
5.8
2.8
5.1
2.4
virginica
6.4
3.2
5.3
2.3
virginica
6.5
3.0
5.5
1.8
virginica
7.7
3.8
6.7
2.2
virginica
7.7
2.6
6.9
2.3
virginica
6.0
2.2
5.0
1.5
virginica
6.9
3.2
5.7
2.3
virginica
5.6
2.8
4.9
2.0
virginica
7.7
2.8
6.7
2.0
virginica
6.3
2.7
4.9
1.8
virginica
6.7
3.3
5.7
2.1
virginica
7.2
3.2
6.0
1.8
virginica
6.2
2.8
4.8
1.8
virginica
6.1
3.0
4.9
1.8
virginica
6.4
2.8
5.6
2.1
virginica
7.2
3.0
5.8
1.6
virginica
7.4
2.8
6.1
1.9
virginica
7.9
3.8
6.4
2.0
virginica
6.4
2.8
5.6
2.2
virginica
6.3
2.8
5.1
1.5
virginica
6.1
2.6
5.6
1.4
virginica
7.7
3.0
6.1
2.3
virginica
6.3
3.4
5.6
2.4
virginica
6.4
3.1
5.5
1.8
virginica
6.0
3.0
4.8
1.8
virginica
6.9
3.1
5.4
2.1
virginica
6.7
3.1
5.6
2.4
virginica
6.9
3.1
5.1
2.3
virginica
5.8
2.7
5.1
1.9
virginica
6.8
3.2
5.9
2.3
virginica
6.7
3.3
5.7
2.5
virginica
6.7
3.0
5.2
2.3
virginica
6.3
2.5
5.0
1.9
virginica
6.5
3.0
5.2
2.0
virginica
6.2
3.4
5.4
2.3
virginica
5.9
3.0
5.1
1.8
virginica
Further, inspired by this GitHub issue, the repository for this package contains my custom CSS file for the R Markdown cayman theme in prettydoc, available for download below.
<a href="data:text/css;base64,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" download="custom.css">Download custom.css</a>{=html}
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