
Construct a paintr_obj based on an expression in ggplot2 alike layout
paintr.RdConstruct a paintr_obj based on an expression in ggplot2 alike layout
Arguments
- id
An ID string that corresponds with the ID used for all component of this
paintr_obj- data
the dataset for plotting
- expr
a
ggplot2alike expression which is referred to as "paintr expression" inggpaintr- extra_ui
a named list: of extra functions that generate paintr_ui. The names of this list should be key words of a paintr expression For example
extra_ui = list(param1 = my_ui_func1, param2 = my_ui_func2)- extra_ui_args
a named list: of lists of arguments. The names of this list should be key words of a paintr expression. And the element of a key word should be a list of arguments that goes into the ui function of this key word For example
list(param1 = list(my_ui_func1_arg1, my_ui_func1_arg2), param2 = list(my_ui_func2_arg1, my_ui_func2_arg2))- data_path
string. path to the dataset; used for code of obtaining the data
Value
a paintr_obj that contains all pieces of the paintr expression and
and their corresponding ui elements used to build a shiny app. Additionally, it includes:
iddatadata_path
Details
the expr should have a ggplot2 alike layout and be wrapped by rlang::expr.
And the functionality of paintr is based on this expr that follows certain
rules. In general, a ggpaintr expression should be:
rlang::expr(
geom_<chart>(aes(<mapping_1>, <mapping_2>), <geom_args_1>, <geom_args2>) +
<plot_settings_1> +
<plot_settings_2> +
<plot_settings_3>
)
And note that:
<mapping_*>is amappingkeyword that represents a aesthetic mapping inggplot2, likex,y, orcolor<geom_args_*>is ageom_argskeyword that represents an argument passed intogeom_<chart>, likeposition<plot_settings_*>is aplot_settingskeyword that represents aggplot2function likecoord_flip, which can modify the plotgeom_<chart>specifies the geom function used for the plot.'geom_'is used to identifygeom_<chart>aesis used to distinguishmappingkeywords andgeom_argskeywords ingeom_<chart>
Note
extraFunc and extraFuncArgs allow users to override the ui functions provided by ggpaintr package
Examples
paintr("boxplot_id", mtcars, geom_boxplot(aes(x, y)))
#> $gg_components
#> $gg_components$geom_FUN
#> [1] "geom_boxplot"
#>
#> $gg_components$mapping
#> [1] "x" "y"
#>
#> $gg_components$plot_settings
#> list()
#>
#>
#> $shiny_components
#> $shiny_components$ui
#> $shiny_components$ui$mapping
#> $shiny_components$ui$mapping$x
#> <div class="form-group shiny-input-container">
#> <label class="control-label" id="boxplot_id-mapX-label" for="boxplot_id-mapX">x:</label>
#> <select data-max-options="1" data-state-input="true" id="boxplot_id-mapX" class="selectpicker form-control" autocomplete="off" multiple="multiple"><option value="mpg">mpg</option>
#> <option value="cyl">cyl</option>
#> <option value="disp">disp</option>
#> <option value="hp">hp</option>
#> <option value="drat">drat</option>
#> <option value="wt">wt</option>
#> <option value="qsec">qsec</option>
#> <option value="vs">vs</option>
#> <option value="am">am</option>
#> <option value="gear">gear</option>
#> <option value="carb">carb</option></select>
#> </div>
#>
#> $shiny_components$ui$mapping$y
#> <div class="form-group shiny-input-container">
#> <label class="control-label" id="boxplot_id-mapY-label" for="boxplot_id-mapY">y:</label>
#> <select data-max-options="1" data-state-input="true" id="boxplot_id-mapY" class="selectpicker form-control" autocomplete="off" multiple="multiple"><option value="mpg">mpg</option>
#> <option value="cyl">cyl</option>
#> <option value="disp">disp</option>
#> <option value="hp">hp</option>
#> <option value="drat">drat</option>
#> <option value="wt">wt</option>
#> <option value="qsec">qsec</option>
#> <option value="vs">vs</option>
#> <option value="am">am</option>
#> <option value="gear">gear</option>
#> <option value="carb">carb</option></select>
#> </div>
#>
#>
#> $shiny_components$ui$geom_args
#> NULL
#>
#> $shiny_components$ui$plot_settings
#> NULL
#>
#>
#> $shiny_components$id
#> $shiny_components$id$mapping
#> $shiny_components$id$mapping$x
#> [1] "mapX"
#>
#> $shiny_components$id$mapping$y
#> [1] "mapY"
#>
#>
#> $shiny_components$id$geom_args
#> NULL
#>
#> $shiny_components$id$plot_settings
#> NULL
#>
#>
#>
#> $id
#> [1] "boxplot_id"
#>
#> $data
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $data_path
#> [1] "data"
#>
#> attr(,"class")
#> [1] "paintr_obj"
# alternatively, one can define the expression first
library(rlang)
my_expr <- rlang::expr(geom_boxplot(aes(x, y)))
paintr("boxplot_id", mtcars, !!my_expr)
#> $gg_components
#> $gg_components$geom_FUN
#> [1] "geom_boxplot"
#>
#> $gg_components$mapping
#> [1] "x" "y"
#>
#> $gg_components$plot_settings
#> list()
#>
#>
#> $shiny_components
#> $shiny_components$ui
#> $shiny_components$ui$mapping
#> $shiny_components$ui$mapping$x
#> <div class="form-group shiny-input-container">
#> <label class="control-label" id="boxplot_id-mapX-label" for="boxplot_id-mapX">x:</label>
#> <select data-max-options="1" data-state-input="true" id="boxplot_id-mapX" class="selectpicker form-control" autocomplete="off" multiple="multiple"><option value="mpg">mpg</option>
#> <option value="cyl">cyl</option>
#> <option value="disp">disp</option>
#> <option value="hp">hp</option>
#> <option value="drat">drat</option>
#> <option value="wt">wt</option>
#> <option value="qsec">qsec</option>
#> <option value="vs">vs</option>
#> <option value="am">am</option>
#> <option value="gear">gear</option>
#> <option value="carb">carb</option></select>
#> </div>
#>
#> $shiny_components$ui$mapping$y
#> <div class="form-group shiny-input-container">
#> <label class="control-label" id="boxplot_id-mapY-label" for="boxplot_id-mapY">y:</label>
#> <select data-max-options="1" data-state-input="true" id="boxplot_id-mapY" class="selectpicker form-control" autocomplete="off" multiple="multiple"><option value="mpg">mpg</option>
#> <option value="cyl">cyl</option>
#> <option value="disp">disp</option>
#> <option value="hp">hp</option>
#> <option value="drat">drat</option>
#> <option value="wt">wt</option>
#> <option value="qsec">qsec</option>
#> <option value="vs">vs</option>
#> <option value="am">am</option>
#> <option value="gear">gear</option>
#> <option value="carb">carb</option></select>
#> </div>
#>
#>
#> $shiny_components$ui$geom_args
#> NULL
#>
#> $shiny_components$ui$plot_settings
#> NULL
#>
#>
#> $shiny_components$id
#> $shiny_components$id$mapping
#> $shiny_components$id$mapping$x
#> [1] "mapX"
#>
#> $shiny_components$id$mapping$y
#> [1] "mapY"
#>
#>
#> $shiny_components$id$geom_args
#> NULL
#>
#> $shiny_components$id$plot_settings
#> NULL
#>
#>
#>
#> $id
#> [1] "boxplot_id"
#>
#> $data
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $data_path
#> [1] "data"
#>
#> attr(,"class")
#> [1] "paintr_obj"