install logo correctly

This commit is contained in:
Jared Knowles
2020-07-06 11:48:10 -04:00
parent f5f288974f
commit 20f65a7126
32 changed files with 582 additions and 95 deletions
+122
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@@ -0,0 +1,122 @@
# Functions for connecting to Civilytics' data sources
# postgresCon <- function(myip){
# require("RPostgreSQL")
# require("pool")
# drv <- dbDriver("PostgreSQL")
# con <- dbPool(drv, dbname = "crime", host = myip,
# port = 5432, user="admin", password = "betterplacemakeworld")
# return(con)
# }
#' Clean unreported data counts in UCR data
#'
#' @param x a column of data, if character, substitute and conver to numeric
#'
#' @return a numeric column of data
#' @export
countCleanr <- function(x){
if(class(x) == "character"){
x[x == "None not reported"] <- "0"
x[x == "Not applicable"] <- NA
x <- as.numeric(x)
return(x)
} else{
return(x)
}
}
#' Find columns in a dataframe that have values with a "."
#'
#' @param data a dataframe
#'
#' @return the names of columns in the dataframe with one or more entries equal to "."
#' @export
#'
#' @examples
findDots <- function(data){
return(names(data)[lapply(data, countDots) > 0])
}
#' Count the number of single period entries in a vector
#'
#' @param x a character vector
#'
#' @return
#' @export
#'
#' @examples
countDots <- function(x){
len <- length(x[x == "." & !is.na(x)])
totlen <- length(x)
return(len)
}
#' Make names safe for inclusion in a database
#'
#' @param names a character vector of possible column or table names
#'
#' @return a vector the same length as the input vector with clean names
#' @export
#'
#' @examples
dbSafeNames <- function(names) {
names = gsub('[^a-z0-9]+','_',tolower(names))
names = make.names(names, unique = TRUE, allow_ = TRUE)
names = gsub('.','_',names, fixed = TRUE)
names
}
#' Count number of missing values in a vector
#'
#' @param x a vector of values
#'
#' @return an integer equal to the number of NA entries in the vector
#' @export
#'
#' @examples
#' countNA(letters) # = 0
#' countNA(c(letters, NA)) # = 1
countNA <- function(x){
length(x[is.na(x)])
}
#' Count the number of unique values in a vector
#'
#' @param x a vector of values
#'
#' @return an integer equal to the number of unique values in a vector
#' @export
#'
#' @examples
#' nvals(letters) # = 26
#' nvals(state.abb) # = 50
nvals <- function(x){
length(unique(x))
}
#' Capitalize a character string after each space
#'
#' @param x a character string
#'
#' @return a vector of characters with all values after a space capitalized
#' @export
#'
#' @examples
#' my_string <- c("Happy school", "Easy school", "cool School", "big school")
#' simpleCap(my_string)
simpleCap <- function(x) {
stopifnot(class(x) == "character")
s <- strsplit(x, " ")[[1]]
paste(toupper(substring(s, 1,1)), substring(s, 2),
sep = "", collapse = " ")
}
+49 -30
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@@ -1,19 +1,19 @@
#' Title
#' Plot a jpeg image as a raster
#'
#' @param path
#' @param add
#' @param upscale
#'
#' @return
#' @param path a character representing the relative or absolute path to the image
#' @param add a logical, TRUE to add the image to an existing plot, FALSE creates a new plot
#' @param upscale a logical, TRUE upscales the resolution of the graphic by a factor of 3, FALSE
#' preserves the resolution
#' @return a rasterImage
#' @export
#' @importFrom jpeg readJPEG
#' @importFrom graphics rasterImage
#' @examples
#' img <- readJPEG(system.file("img","Rlogo.jpg",package="jpeg"))
#' img <- system.file("img","Civilytics Consulting Logo.jpg",package="civilytics")
#' plot_jpeg(img)
plot_jpeg <- function(path, add=FALSE, upscale = TRUE)
{
require('jpeg')
jpg = readJPEG(path, native=T) # read the file
jpg = readJPEG(path, native = T) # read the file
res = dim(jpg)[2:1] # get the resolution, [x, y]
if (upscale){
res <- res * 3
@@ -26,9 +26,9 @@ plot_jpeg <- function(path, add=FALSE, upscale = TRUE)
}
#' Title
#' Plot a PNG file as a rasterGrob for inclusion in ggplot2
#'
#' @param filename
#' @param filename a character with file path to a png file
#'
#' @return
#' @export
@@ -36,16 +36,17 @@ plot_jpeg <- function(path, add=FALSE, upscale = TRUE)
#' @importFrom grid rasterGrob
#'
#' @examples
#'
get_png <- function(filename) {
grid::rasterGrob(png::readPNG(filename), interpolate = TRUE)
}
#' Title
#' Add a logo to a ggplot2 object
#'
#' @param plot
#' @param logo
#' @param margin_param
#' @param plot a ggplot2 grob
#' @param logo a logo grob created by make_logo_grob()
#' @param margin_param a numeric specifying what margin to add or subtract to align the logo
#'
#' @return
#' @importFrom ggplot2 theme
@@ -73,15 +74,18 @@ add_logo <- function(plot, logo, margin_param = NULL) {
padding = unit(0.1, "line"))
}
#' Title
#' Measure a ggplot2 object caption
#'
#' @param gg
#' @param gg a ggplot object
#'
#' @return
#' @return a numeric value stating the number of lines to be added or subtracted to align a logo with
#' the caption
#' @importFrom stringr str_count
#' @export
#'
#' @examples
#' p1 <- qplot(mpg, wt, data = mtcars)
#' measure_caption(p1) # Should equal 1 since no caption is required
measure_caption <- function(gg) {
if (has_caption(gg)) {
stringr::str_count(gg$labels$caption, pattern = "\n") + 1
@@ -91,32 +95,43 @@ measure_caption <- function(gg) {
}
#' Title
#' Test whether a ggplot2 object has a caption
#'
#' @param gg
#' @param gg a gg object from ggplot2
#'
#' @return
#' @return a logical, TRUE if a caption exists and FALSE if it does not
#' @import ggplot2
#' @export
#'
#' @examples
#' p1 <- ggplot2::qplot(mpg, wt, data = mtcars)
#' has_caption(p1) # FALSE
has_caption <- function(gg) {
any(names(gg$labels) == "caption")
}
#' Title
#' Add a logo to a ggplot2 object
#'
#' @param plot_list
#' @param logo
#' @param nrow
#' @param widths
#' @param margin_param
#' @param plot_list a list containing ggplot2 objects
#' @param logo a grob containing the logo created with `make_logo_grob`
#' @param nrow an integer, default = 1, for the number of rows to align the plots in
#' @param widths an optional vector the same length as plot_list with the widths for each plot
#' @param margin_param a number giving the adjustment up or down to help manually align logo and captions
#'
#' @return
#' @note The resulting object needs to be drawn to the screen using grid.draw()
#' @importFrom gridExtra arrangeGrob
#' @importFrom ggplot2 theme
#' @importFrom grid grid.draw
#' @export
#'
#' @examples
#' library(ggplot2); library(grid)
#' tmp_plot <- ggplot(mtcars) + aes(x = hp, y = disp) + geom_point() + theme_civilytics()
#' tmp_logo <- make_logo_grob()
#' plot_and_logo <- add_logo(tmp_plot, tmp_logo)
#' grid.draw(plot_and_logo)
#' dev.off()
add_logo_ga <- function(plot_list, logo, nrow = 1, widths = NULL, margin_param = NULL) {
# Change position of logo depending on if plot has a caption
if (!is.null(margin_param)) {
@@ -146,14 +161,18 @@ add_logo_ga <- function(plot_list, logo, nrow = 1, widths = NULL, margin_param =
#' Get a Civilytics Logo grob
#'
#' @return
#' @return a gg object which contains the logo file stored as a Grob suitable for manipulating in
#' grid
#' @export
#'
#' @import ggplot2
#' @examples
#' logo <- make_logo_grob()
#' class(logo) # gg
make_logo_grob <- function() {
logo_grob <- ggplot(mapping = aes(x = 0:1, y = 1)) +
theme_void() +
annotation_custom(get_png(system.file("img", "civilytics_logo.png",
package="civilytics")), xmin = 0.825, xmax = 1)
package="civilytics")), xmin= 0.7, xmax = 1)
logo_grob
}
+9 -12
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@@ -1,17 +1,14 @@
#' Title
#' Make the Civilytics plot theme
#'
#' @param font_size
#' @param font_family
#' @param line_size
#' @param rel_small
#' @param rel_tiny
#' @param rel_large
#'
#' @return
#' @param font_size default 14, a number representing the base font for the theme
#' @param font_family default "", a character for the font family to use in the theme
#' @param line_size default 0.5, the line size to use for the theme
#' @param rel_small default 12/14, the scale factor to create a small font from the base font_size
#' @param rel_tiny default 11/14, the scale factor to create a tiny font from the base font_size
#' @param rel_large default 16/14, the scale factor to create a large font from the base font_size
#' @importFrom graphics plot
#' @return a ggplot2 theme object suitable for combining with ggplot objects to theme them
#' @export
#'
#' @examples
theme_civilytics <-
function (font_size = 14,
font_family = "",
+13 -8
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@@ -8,33 +8,38 @@
#'
#' @examples
#' safe_max(1:10)
#' safe_max(c(1:10, NA)) # 10
#' safe_max(c(1:10, NA))# 10
safe_max <- function(x) {
max(x, na.rm = TRUE)
if (all(is.na(x))) {
return(NA)
} else {
max(x, na.rm = TRUE)
}
}
#' Prettify proportion data
#' Make data expresed as proportions print out as prettily formatted characters with percentages
#'
#' @param x a numeric vector of proportions to convert to percentages
#' @param ndigit a vector of length 1 indicating the number of digits to display in the percent
#' @param ndigit a vector of length 1 indicating the number of digits to display in the percent, by
#' default it represents the digits after the decimal point in the percentage form
#'
#' @return
#' @return a character vector with a % attached
#' @export
#'
#' @examples
#' pretty_per(0.2, ndigit = 1)
#' pretty_per(c(0.2, 0.332423, 0.4, 0.342342), ndigit = 2)
pretty_per <- function(x, ndigit = 1) {
x <- format(round(x, digits = 3) * 100, nsmall = ndigit)
if (any(x >= 100) & !all(is.na(x))) {
message("Values over 100 found, did you mean to use proportions?")
}
x <- format(round(x, digits = ndigit + 2) * 100, nsmall = ndigit)
x <- paste0(x, "%")
x[x == "NA%"] <- " - "
x <- trimws(x)
return(x)
}
options(knitr.kable.NA = "-")
#' Zero out missing values