The solution to some common problems is proposed,
as well as a summary of some small functions. In particular,
it provides a useful function for some problems in chemistry.
For example, monoa(), monob() and mono() function can be used
to calculate The pH of weak acid/base.
The ggpng() function can save the PNG format with transparent background.
The period_table() function will show the periodic table. Also the
show_ruler() function will show the ruler.
The show_color() function is funny and easier to show colors.
I also provide the symb() function to generate multiple symbols at once.
The csv2vcf() function provides an easy method to generate a file.
The sym2poly() and sym2coef() function can extract coefficients from
polynomials.
ggplot2, clipr, Ryacas, magrittr, utils, grDevices, MASS,
crayon, polynom, pracma

Automatic Colors for Multi-Dimensional Data
Assign distinct colors to arbitrary multi-dimensional data, considering its structure.
c(
person("Oren", "Ben-Kiki", email="oren@ben-kiki.org", role=c("aut", "cre")),
person("Weizmann Institute of Science", role="cph")
)
Oren Ben-Kiki [aut, cre],
Weizmann Institute of Science [cph]

c(
person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
role = c("aut", "cre", "cph")),
person("Richard", "Chandler", role = c("aut", "cph"))
)
Performs adjustments of a user-supplied independence loglikelihood
function using a robust sandwich estimator of the parameter covariance
matrix, based on the methodology in Chandler and Bate (2007)
<doi:10.1093/biomet/asm015>.  This can be used for cluster correlated data
when interest lies in the parameters of the marginal distributions or for
performing inferences that are robust to certain types of model
misspecification.  Functions for profiling the adjusted loglikelihoods are
also provided, as are functions for calculating and plotting confidence
intervals, for single model parameters, and confidence regions, for pairs
of model parameters.
Paul J. Northrop [aut, cre, cph],
Richard Chandler [aut, cph]