R package that contains Irucka Embry’s miscellaneous functions:

- statistical analysis
- RMS,
- coefficient of variation (CV),
- approximate and relative error,
- range,
- harmonic mean,
- geometric mean,
- maximum mean relative error (MAXRE),
- and mean relative error (MRE)];

- engineering economics
- benefit-cost,
- future value,
- present value,
- annual value,
- gradients,
- interest,
- periods,
- etc.;

- geometry
- polygon area,
- sphere volume,
- and right triangle validation;

- civil & environmental/water resources engineering
- Concrete Mix Design for Normal Strength & Structural Lightweight Concrete,
- Construction Measurements with and without Fractions,
- Engineering Surveying Calculations,
- Air Stripping,
- Saturated Vapor Pressure for Ice and Water,
- Density of Water,
- Dynamic and Kinematic Viscosity of Water,
- Specific Gravity and Volume,
- Unit Weight,
- Surface Tension of Water,
- Weighted C Factor,
- Weighted Curve Number,
- Darcy friction factor (f),
- the Reynolds number,
- Manning’s n,
- Gauckler-Manning-Strickler equations for open channel flow,
- Modified Rational Method Equation,
- Linear Surface Area calculation,
- Rain Garden sizing based on driveways;

- convert a fraction (or mixed number) to a decimal (numeric vector);
- negation of chin from data.table and negation of in from base R (%notchin%);
- quick search (%qsin%);
- return character vectors in order (%inorder%);
- mortality rate calculations;
- proportion solver;
- sum of all digits in a vector to a single integer;
- string manipulation (splitcomma and splitremove);
- a version of linear interpolation for use with NAs;
- Python compatible floor division function (%//%);
- GNU Octave/MATLAB compatible trigonometric functions in degrees; and
- GNU Octave/MATLAB compatible
- section properties (secprop),
- remainder (Rem),
- modulus (Mod_octave),
- number of dimensions (ndims),
- row vector (isrow) and column vector (iscolumn) tests,
- fractional differences (fractdiff),
- size,
- numel,
- and length functions.

This package can be used in academia by students and faulty alike and/or in professional settings.

`install.packages("iemisc")`

With credit due to the `matlab`

package, for a complete
list of functions and the package DESCRIPTION file, use:

`library(help = "iemisc")`

With credit due to Getting Help with R for the following 2 methods of help:

```
help(shm, package = "iemisc") # sample harmonic mean function help
help(package = "iemisc") # help for the iemisc package
```

If you wish to browse the `iemisc`

Vignettes, please
copy-and-paste the following code into R:

```
library(iemisc)
::browseVignettes("iemisc") utils
```

```
# 1)
::load_package("iemisc", "rando")
install.load
set_n(200) # makes the example reproducible
<- r_norm(.seed = 200) # sample
samp
# Calculate the sample harmonic mean (SHM) of the 200 values
# Using the default value of na.rm = FALSE
# using a matrix of the numeric vector obs1
<- matrix(data = samp, nrow = length(samp), ncol = 1, byrow = FALSE,
samp1 dimnames = list(c(rep("", length(samp))), "Sample"))
shm(samp1)
# 2)
::load_package("iemisc", "rando")
install.load
# Compute the relative error of the 210 values
set_n(210) # makes the example reproducible
<- r_norm(.seed = 210) # true
true
<- r_norm(.seed = 210) # approximation
approx
relerror(true, approx)
# 3)
library(iemisc)
# Are any of the following right triangles?
righttri(2, 7) # a = 2, b = 7
righttri(a = 4, c = 11)
righttri(b = 4, c = 5)
# 4)
library(iemisc)
# What is the future worth of $2,390.90 in the present 13 years from now with a
# 0.25% interest rate compounded annually?
FgivenP(2390.90, 13, 0.25, frequency = "annual") # the interest rate is 0.25%
```

This software is provided “AS IS”. See the GPL License for more information.

`iemisc`

is distributed under the GPL-3 (or later)
license, as stated in the DESCRIPTION file. For more info, see the GNU General Public
License (GPL) page.

Please refer to the CITATION file for the correct way to cite
`iemisc`

.

If you want to support the continued development of this and my other R packages, feel free to: