README.md
In crazybilly/muadc: A collection of functions and variables
muadc
an R package with everyday functions for my job at Millikin. This package has been superceded by ucbudar, as I no longer work at Millikin.
Variables
Contains various variables:
- currentFY - current fiscal year
- fyStartDate - the date the current fiscal year started
- fyEndDate - the date the current fiscal year ended
- tmuGoal - the dollar goal for Transform MU
- afGoal - the dollar goal for the Millikin Fund
Aliases
Contains the following aliases, primarily for interactive use:
- v - View()
- h - head()
- s - summary()
- cd - setwd()
Functions
- binary.test - checks to see if a column is empty, returns a data frame of key/value pairs with a boolean factor variable
- coalesce - an SQL-style coalesce function to return the first non-NA value in an assortment of vectors
- eightytwenty - find the 80/20 cutoff in a vector
- grepnames - search column names for a string
- histrug - plot a histogram with a rug
- initcommitsdb - initalizes dplyr-style connection to my local MySQL giving datawarehouse
- is.blank - an R-style is.foo test to see if a field is blank, purposefully more generalized than
is.na
- muplot - sets formatting options for plots
- outliers - find the upper and lower bound for outliers
- read.hallp - read hallp.csv, optionally looking to see if it exists
- read.tidy - read a csv & tidy up column names, optionally looking to see if the object exists
- renormalize - a function to renormalize (in the Bryce-Codd sense of normalization) a set of key/value pair where the value contains multiple values
- renormalize - turn a denormalized list of values back into id/value pairs
- startup - do various typical startup tasks. Largely useless
- view.sample - get a quick look at data, particularly useful for very wide data frames
- write.clip - write an object to the clipboard
TODO
- givingfactor - a function to bin giving (or wealth capacity) into various factor levels
- startup - revise, make useful or remove
- renormalize - lots of edge cases need to be considered
- something's wonky with the documentation -- package will build, but won't check.
crazybilly/muadc documentation built on March 6, 2021, 4:15 p.m.
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muadc
an R package with everyday functions for my job at Millikin. This package has been superceded by ucbudar, as I no longer work at Millikin.
Variables
Contains various variables:
- currentFY - current fiscal year
- fyStartDate - the date the current fiscal year started
- fyEndDate - the date the current fiscal year ended
- tmuGoal - the dollar goal for Transform MU
- afGoal - the dollar goal for the Millikin Fund
Aliases
Contains the following aliases, primarily for interactive use:
- v - View()
- h - head()
- s - summary()
- cd - setwd()
Functions
- binary.test - checks to see if a column is empty, returns a data frame of key/value pairs with a boolean factor variable
- coalesce - an SQL-style coalesce function to return the first non-NA value in an assortment of vectors
- eightytwenty - find the 80/20 cutoff in a vector
- grepnames - search column names for a string
- histrug - plot a histogram with a rug
- initcommitsdb - initalizes dplyr-style connection to my local MySQL giving datawarehouse
- is.blank - an R-style is.foo test to see if a field is blank, purposefully more generalized than
is.na - muplot - sets formatting options for plots
- outliers - find the upper and lower bound for outliers
- read.hallp - read hallp.csv, optionally looking to see if it exists
- read.tidy - read a csv & tidy up column names, optionally looking to see if the object exists
- renormalize - a function to renormalize (in the Bryce-Codd sense of normalization) a set of key/value pair where the value contains multiple values
- renormalize - turn a denormalized list of values back into id/value pairs
- startup - do various typical startup tasks. Largely useless
- view.sample - get a quick look at data, particularly useful for very wide data frames
- write.clip - write an object to the clipboard
TODO
- givingfactor - a function to bin giving (or wealth capacity) into various factor levels
- startup - revise, make useful or remove
- renormalize - lots of edge cases need to be considered
- something's wonky with the documentation -- package will build, but won't check.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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