Dave Jarvis' Repositories

# -----------------------------------------------------------------------------

# Copyright 2020, White Magic Software, Ltd.

# 

# Permission is hereby granted, free of charge, to any person obtaining

# a copy of this software and associated documentation files (the

# "Software"), to deal in the Software without restriction, including

# without limitation the rights to use, copy, modify, merge, publish,

# distribute, sublicense, and/or sell copies of the Software, and to

# permit persons to whom the Software is furnished to do so, subject to

# the following conditions:

# 

# The above copyright notice and this permission notice shall be

# included in all copies or substantial portions of the Software.

# 

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,

# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF

# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE

# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION

# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION

# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------

# Substitute R expressions in a document with their evaluated value. The

# anchor variable must be set for functions that use relative dates.

# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------

# Evaluates an expression; writes s if there is no expression.

# -----------------------------------------------------------------------------

x <- function( s ) {

  tryCatch( {

    r = eval( parse( text = s ) )

    # If the result isn't primitive, then it was probably parsed into

    # an unprintable object (e.g., "gray" becomes a colour). In those

    # cases, return the original text string. Otherwise, an atomic

    # value means a primitive type (string, integer, etc.) that can be

    # written directly into the document.

    ifelse( is.atomic( r ), r, s );

  },

  warning = function( w ) { s },

  error = function( e ) { s } )

}

# -----------------------------------------------------------------------------

# Returns a date offset by a given number of days, relative to the given

# date (d). This does not use the anchor, but is used to get the anchor's

# value as a date.

# -----------------------------------------------------------------------------

when <- function( d, n = 0, format = "%Y-%m-%d" ) {

  as.Date( d, format = format ) + x( n )

}

# -----------------------------------------------------------------------------

# Full date (s) offset by an optional number of days before or after.

# This will remove leading zeros (applying leading spaces instead, which

# are ignored by any worthwhile typesetting engine).

# -----------------------------------------------------------------------------

annal <- function( days = 0, format = "%Y-%m-%d", oformat = "%B %d, %Y" ) {

  format( when( anchor, days ), format = oformat )

}

# -----------------------------------------------------------------------------

# Extracts the year from a date string.

# -----------------------------------------------------------------------------

year <- function( days = 0, format = "%Y-%m-%d" ) {

  annal( days, format, "%Y" )

}

# -----------------------------------------------------------------------------

# Day of the week (in days since the anchor date).

# -----------------------------------------------------------------------------

weekday <- function( n ) {

  weekdays( when( anchor, n ) )

}

# -----------------------------------------------------------------------------

# String concatenate function alias because paste0 is a terrible name.

# -----------------------------------------------------------------------------

concat <- paste0

# -----------------------------------------------------------------------------

# Translates a number from digits to words using Chicago Manual of Style.

# This does not translate numbers greater than one hundred. If ordinal

# is TRUE, this will return the ordinal name. This will not produce ordinals

# for numbers greater than 100.

# -----------------------------------------------------------------------------

cms <- function( n, ordinal = FALSE ) {

  n <- x( n )

  if( n == 0 ) {

    if( ordinal ) {

      return( "zeroth" )

    }

    return( "zero" )

  }

  # Concatenate this a little later.

  if( n < 0 ) {

    result = "negative "

    n = abs( n )

  }

  # Do not spell out numbers greater than one hundred.

  if( n > 100 ) {

    # Comma-separated numbers.

    return( commas( n ) )

  }

  # Don't go beyond 100.

  if( n == 100 ) {

    if( ordinal ) {

      return( "one hundredth" )

    }

    return( "one hundred" )

  }

  # Samuel Langhorne Clemens noted English has too many exceptions.

  small = c(

    "one", "two", "three", "four", "five",

    "six", "seven", "eight", "nine", "ten",

    "eleven", "twelve", "thirteen", "fourteen", "fifteen",

    "sixteen", "seventeen", "eighteen", "nineteen"

  )

  ord_small = c(

    "first", "second", "third", "fourth", "fifth",

    "sixth", "seventh", "eighth", "ninth", "tenth",

    "eleventh", "twelfth", "thirteenth", "fourteenth", "fifteenth",

    "sixteenth", "seventeenth", "eighteenth", "nineteenth", "twentieth"

  )

  # After this, the number (n) is between 20 and 99.

  if( n < 20 ) {

    if( ordinal ) {

      return( .subset( ord_small, n %% 100 ) )

    }

    return( .subset( small, n %% 100 ) )

  }

  tens = c( "",

    "twenty", "thirty", "forty", "fifty",

    "sixty", "seventy", "eighty", "ninety"

  )

  ord_tens = c( "",

    "twentieth", "thirtieth", "fortieth", "fiftieth",

    "sixtieth", "seventieth", "eightieth", "ninetieth"

  )

  ones_index = n %% 10

  n = n %/% 10

  # No number in the ones column, so the number must be a multiple of ten.

  if( ones_index == 0 ) {

    if( ordinal ) {

      return( .subset( ord_tens, n ) )

    }

    return( .subset( tens, n ) )

  }

  # Find the value from the ones column.

  if( ordinal ) {

    unit_1 = .subset( ord_small, ones_index )

  }

  else {

    unit_1 = .subset( small, ones_index )

  }

  # Find the tens column.

  unit_10 = .subset( tens, n )

  # Hyphenate the tens and the ones together.

  concat( unit_10, concat( "-", unit_1 ) )

}

# -----------------------------------------------------------------------------

# Returns a number as a comma-delimited string. This is a work-around

# until Renjin fixes https://github.com/bedatadriven/renjin/issues/338

# -----------------------------------------------------------------------------

commas <- function( n ) {

  n <- x( n )

  s <- sprintf( "%03.0f", n %% 1000 )

  n <- n %/% 1000

  while( n > 0 ) {

    s <- concat( sprintf( "%03.0f", n %% 1000 ), ',', s )

    n <- n %/% 1000

  }

  gsub( '^0*', '', s )

}

# -----------------------------------------------------------------------------

# Returns a human-readable string that provides the elapsed time between

# two numbers in terms of years, months, and days. If any unit value is zero,

# the unit is not included. The words (year, month, day) are pluralised

# according to English grammar. The numbers are written out according to

# Chicago Manual of Style. This applies the serial comma.

#

# Both numbers are offsets relative to the anchor date.

#

# If all unit values are zero, this returns s ("same day" by default).

#

# If the start date (began) is greater than end date (ended), the dates are

# swapped before calculations are performed. This allows any two dates

# to be compared and positive unit values are always returned.

# -----------------------------------------------------------------------------

elapsed <- function( began, ended, s = "same day" ) {

  began = when( anchor, began )

  ended = when( anchor, ended )

  # Swap the dates if the end date comes before the start date.

  if( as.integer( ended - began ) < 0 ) {

    tempd = began

    began = ended

    ended = tempd

  }

  # Calculate number of elapsed years.

  years = length( seq( from = began, to = ended, by = 'year' ) ) - 1

  # Move the start date up by the number of elapsed years.

  if( years > 0 ) {

    began = seq( began, length = 2, by = concat( years, " years" ) )[2]

    years = pl.numeric( "year", years )

  }

  else {

    # Zero years.

    years = ""

  }

  # Calculate number of elapsed months, excluding years.

  months = length( seq( from = began, to = ended, by = 'month' ) ) - 1

  # Move the start date up by the number of elapsed months

  if( months > 0 ) {

    began = seq( began, length = 2, by = concat( months, " months" ) )[2]

    months = pl.numeric( "month", months )

  }

  else {

    # Zero months

    months = ""

  }

  # Calculate number of elapsed days, excluding months and years.

  days = length( seq( from = began, to = ended, by = 'day' ) ) - 1

  if( days > 0 ) {

    days = pl.numeric( "day", days )

  }

  else {

    # Zero days

    days = ""

  }

  if( years <= 0 && months <= 0 && days <= 0 ) {

    return( s )

  }

  # Put them all in a vector, then remove the empty values.

  s <- c( years, months, days )

  s <- s[ s != "" ]

  r <- paste( s, collapse = ", " )

  # If all three items are present, replace the last comma with ", and".

  if( length( s ) > 2 ) {

    return( gsub( "(.*),", "\\1, and", r ) )

  }

  # Does nothing if no commas are present.

  gsub( "(.*),", "\\1 and", r )

}

# -----------------------------------------------------------------------------

# Returns the number (n) in English followed by the plural or singular

# form of the given string (s; resumably a noun), if applicable, according

# to English grammar. That is, pl.numeric( "wolf", 5 ) will return

# "five wolves".

# -----------------------------------------------------------------------------

pl.numeric <- function( s, n ) {

  concat( cms( n ), concat( " ", pluralise( s, n ) ) )

}

# -----------------------------------------------------------------------------

# Pluralise s if n is not equal to 1.

# -----------------------------------------------------------------------------

pl <- function( s, n=2 ) {

  pluralize( s, x( n ) )

}

# -----------------------------------------------------------------------------

# Name of the season, starting with an capital letter.

# -----------------------------------------------------------------------------

season <- function( n, format = "%Y-%m-%d" ) {

  WS <- as.Date("2016-12-15", "%Y-%m-%d") # Winter Solstice

  SE <- as.Date("2016-03-15", "%Y-%m-%d") # Spring Equinox

  SS <- as.Date("2016-06-15", "%Y-%m-%d") # Summer Solstice

  AE <- as.Date("2016-09-15", "%Y-%m-%d") # Autumn Equinox

  d <- when( anchor, n )

  d <- as.Date( strftime( d, format="2016-%m-%d" ) )

  ifelse( d >= WS | d < SE, "Winter",

    ifelse( d >= SE & d < SS, "Spring",

      ifelse( d >= SS & d < AE, "Summer", "Autumn" )

    )

  )

}

# -----------------------------------------------------------------------------

# Converts the first letter in a string to lowercase

# -----------------------------------------------------------------------------

lc <- function( s ) {

  concat( tolower( substr( s, 1, 1 ) ), substr( s, 2, nchar( s ) ) )

}

# -----------------------------------------------------------------------------

# Converts the entire string to lowercase

# -----------------------------------------------------------------------------

lower <- tolower

# -----------------------------------------------------------------------------

# Converts the first letter in a string to uppercase

# -----------------------------------------------------------------------------

uc <- function( s ) {

  concat( toupper( substr( s, 1, 1 ) ), substr( s, 2, nchar( s ) ) )

}

# -----------------------------------------------------------------------------

# Returns the number of days between the given dates.

# -----------------------------------------------------------------------------

days <- function( d1, d2, format = "%Y-%m-%d" ) {

  dates = c( d1, d2 )

  dt = strptime( dates, format = format )

  as.integer( difftime( dates[2], dates[1], units = "days" ) )

}

# -----------------------------------------------------------------------------

# Returns the number of years elapsed.

# -----------------------------------------------------------------------------

years <- function( began, ended ) {

  began = when( anchor, began )

  ended = when( anchor, ended )

  # Swap the dates if the end date comes before the start date.

  if( as.integer( ended - began ) < 0 ) {

    tempd = began

    began = ended

    ended = tempd

  }

  # Calculate number of elapsed years.

  length( seq( from = began, to = ended, by = 'year' ) ) - 1

}

# -----------------------------------------------------------------------------

# Full name of the month, starting with a capital letter.

# -----------------------------------------------------------------------------

month <- function( n ) {

  # Faster than month.name[ x( n ) ]

  .subset( month.name, x( n ) )

}

# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------

money <- function( n ) {

  commas( x( n ) )

}

# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------

timeline <- function( n ) {

  concat( weekday( n ), ", ", annal( n ), " (", season( n ), ")" )

}

# -----------------------------------------------------------------------------

# Rounds to the nearest base value (e.g., round to nearest 10).

#

# @param base The nearest value to round to.

# -----------------------------------------------------------------------------

round.up <- function( n, base = 5 ) {

  base * round( x( n ) / base )

}

# -----------------------------------------------------------------------------

# Computes linear distance between two points using Haversine formula.

# Although Earth is an oblate spheroid, this will produce results close

# enough for most purposes.

#

# @param lat1/lon1 The source latitude and longitude.

# @param lat2/lon2 The destination latitude and longitude.

# @param radius The radius of the sphere.

#

# @return The distance between the two coordinates in meters.

# -----------------------------------------------------------------------------

haversine <- function( lat1, lon1, lat2, lon2, radius = 6371 ) {

  # Convert decimal degrees to radians

  lon1 = lon1 * pi / 180

  lon2 = lon2 * pi / 180

  lat1 = lat1 * pi / 180

  lat2 = lat2 * pi / 180

  # Haversine formula

  dlon = lon2 - lon1

  dlat = lat2 - lat1

  a = sin( dlat / 2 ) ** 2 + cos( lat1 ) * cos( lat2 ) * sin( dlon / 2 ) ** 2

  c = 2 * atan2( sqrt( a ), sqrt( 1-a ) )

  return( radius * c * 1000 )

}

# -----------------------------------------------------------------------------

# Copyright 2020, White Magic Software, Ltd.

# 

# Permission is hereby granted, free of charge, to any person obtaining

# a copy of this software and associated documentation files (the

# "Software"), to deal in the Software without restriction, including

# without limitation the rights to use, copy, modify, merge, publish,

# distribute, sublicense, and/or sell copies of the Software, and to

# permit persons to whom the Software is furnished to do so, subject to

# the following conditions:

# 

# The above copyright notice and this permission notice shall be

# included in all copies or substantial portions of the Software.

# 

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,

# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF

# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE

# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION

# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION

# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

# -----------------------------------------------------------------------------

# -----------------------------------------------------------------------------

# Converts CSV to Markdown.

#

# Reads a CSV file and converts the contents to a Markdown table. The

# file must be in the working directory as specified by setwd.

#

# @param f The filename to convert.

# @param decimals Rounded decimal places (default 1).

# @param totals Include total sums (default TRUE).

# @param align Right-align numbers (default TRUE).

# -----------------------------------------------------------------------------

csv2md <- function( f, decimals = 2, totals = T, align = T ) {

  # Read the CVS data from the file; ensure strings become characters.

  df <- read.table( f, sep=',', header=T, stringsAsFactors=F )

  if( totals ) {

    # Determine what columns can be summed.

    number <- which( unlist( lapply( df, is.numeric ) ) )

    # Use colSums when more than one summable column exists.

    if( length( number ) > 1 ) {

      f.sum <- colSums

    }

    else {

      f.sum <- sum

    }

    # Calculate the sum of all the summable columns and insert the

    # results back into the data frame.

    df[ (nrow( df ) + 1), number ] <- f.sum( df[, number], na.rm=TRUE )

    # pluralise would be heavyweight here.

    if( length( number ) > 1 ) {

      t <- "**Totals**"

    }

    else {

      t <- "**Total**"

    }

    # Change the first column of the last line to "Total(s)".

    df[ nrow( df ), 1 ] <- t

    # Don't clutter the output with "NA" text.

    df[ is.na( df ) ] <- ""

  }

  if( align ) {

    is.char <- vapply( df, is.character, logical( 1 ) )

    dashes <- paste( ifelse( is.char, ':---', '---:' ), collapse='|' )

  }

  else {

    dashes <- paste( rep( '---', length( df ) ), collapse = '|' )

  }

  # Create a Markdown version of the data frame.

  paste(

    paste( names( df ), collapse = '|'), '\n',

    dashes, '\n', 

    paste(

      Reduce( function( x, y ) {

          paste( x, format( y, digits = decimals ), sep = '|' )

        }, df

      ),

      collapse = '|\n', sep=''

    )

  )

}

## Download

Download one of the following editions:

* [Windows](https://gitreleases.dev/gh/DaveJarvis/scrivenvar/latest/scrivenvar.exe)

* [Linux](https://gitreleases.dev/gh/DaveJarvis/scrivenvar/latest/scrivenvar.bin)

* [Java Archive](https://gitreleases.dev/gh/DaveJarvis/scrivenvar/latest/scrivenvar.jar)

## Run

Note that the first time the application runs, it will unpack itself into a local directory. Subsequent starts will be faster.

### Windows

On Windows, double-click the application to start. You will have to give the application permission to run.

### Linux

On Linux, run `chmod +x scrivenvar.bin` then `./scrivenvar.bin`.

### Other

On other platforms, download and install a full version of [OpenJDK 14](https://bell-sw.com/) that includes JavaFX module support, then run:

``` bash

java -jar scrivenvar.jar

```

* User-defined interpolated strings

* R integration

  if ("windows" == targetOs) {

  } else {

  // Spelling implementation

  implementation fileTree(include: ['**/*.jar'], dir: 'libs')

  implementation 'javax.validation:validation-api:2.0.1.Final'

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