Ifelse(abs( xnum) > = 1e6, paste0(compress( xnum, 6), "M "),
# For si_levels: Slight modification of function at Stop( "The vector supplied for the 'si_levels' argument is too long. Stop( "The vector supplied for the 'dig_lab' argument is too long. The package provides a suite of tools for calculating breaks using multiple different approaches, a selection of palettes appropriate for bivariate mapping and a scale function for 'ggplot2' calls that adds those. This is a technique that maps two quantities simultaneously rather than the single value that most thematic maps display. The following is the fundamental syntax for this function: scale(x, center TRUE, scale. Only if the value provided is numeric, the scale () function subtracts the values of each column by the matching center value from the argument. DkBlue2 instead of DkBlue) are now provided in their place. Scale () is a built-in R function that centers and/or scales the columns of a numeric matrix by default. Note that the original five palettes do not support four-by-four mapping, but very close approximations (e.g.
#Biscale function rcode code#
The following is some R code and output using the t.test function. If you proceed, you will need to supply a custom palette for these data. Provides a 'ggplot2' centric approach to bivariate mapping. bipal (), bilegend (), biscalefill (), and biscalecolor () functions all support four-by-four bivariate maps when dim 4. a group of cyclists under normal oxygen levels after 5 minutes of bicycle exercise. From this point forward, the biscale workflow is the same as in the basic. If both the x and y variables are factors, style can be omitted. Since medInc is a continuous measure, it will be binned using the 'quantile' approach.
Warning( "Maps that are larger than 4x4 dimensions can be difficult to interpret, and biscale does not provide built-in palettes for these maps. The biclass() function will ensure that the number of factor levels in pctWhitebin matches the value given for dim. This is the basis for applying a bivariate color palette.
The specific values needed for dig_lab are entirely dependent on your data, and some experimentation will likely be necessary to produce values you are happy with.#' Creates mapping classes for a bivariate map. This results in consistent decimals for x and no scientific notation for y - a big improvement! Since split = TRUE, we get breaks instead of labels. In the second example, dig_lab = c(x = 2, y = 5) uses a named vector to apply different dig_lab values to x and y. Since dig_lab = 3, for these specific vectors, it produces inconsistently rounded values for x and scientific notation for y. In the first example, dig_lab = 3 is applied to both the x and y vectors, and split = FALSE creates labels where a range of values for each bin is show separated by a dash. The legend itself can be created with the bilegend () function: legend <- bilegend(pal 'GrPink', dim 3, xlab 'Higher White ', ylab 'Higher Income ', size 8) The palette and dimensions should match what has been used for both biclass () (in terms of dimensions) and biscalefill () (in terms of both dimensions and palette).
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