manual
2025-04-23
require(ggplot2)## Loading required package: ggplot2## Warning: package 'ggplot2' was built under R version 4.3.3require(ploty)## Loading required package: ploty## Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
## logical.return = TRUE, : there is no package called 'ploty'require(datarium)## Loading required package: datarium## Warning: package 'datarium' was built under R version 4.3.3data("marketing")
head(marketing)## youtube facebook newspaper sales
## 1 276.12 45.36 83.04 26.52
## 2 53.40 47.16 54.12 12.48
## 3 20.64 55.08 83.16 11.16
## 4 181.80 49.56 70.20 22.20
## 5 216.96 12.96 70.08 15.48
## 6 10.44 58.68 90.00 8.64promedio=mean(marketing$sales)
desviacion=sd(marketing$sales)
data.frame(promedio,desviacion)## promedio desviacion
## 1 16.827 6.260948g1=ggplot(data=marketing,mapping = aes(x=sales))+geom_histogram(fill="blue")+theme_bw()
ggplot_build(g1)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## $data
## $data[[1]]
## y count x xmin xmax density ncount ndensity
## 1 1 1 2.102069 1.576552 2.627586 0.004757218 0.05263158 0.05263158
## 2 0 0 3.153103 2.627586 3.678621 0.000000000 0.00000000 0.00000000
## 3 1 1 4.204138 3.678621 4.729655 0.004757218 0.05263158 0.05263158
## 4 1 1 5.255172 4.729655 5.780690 0.004757218 0.05263158 0.05263158
## 5 4 4 6.306207 5.780690 6.831724 0.019028871 0.21052632 0.21052632
## 6 2 2 7.357241 6.831724 7.882759 0.009514436 0.10526316 0.10526316
## 7 9 9 8.408276 7.882759 8.933793 0.042814961 0.47368421 0.47368421
## 8 4 4 9.459310 8.933793 9.984828 0.019028871 0.21052632 0.21052632
## 9 8 8 10.510345 9.984828 11.035862 0.038057743 0.42105263 0.42105263
## 10 15 15 11.561379 11.035862 12.086897 0.071358268 0.78947368 0.78947368
## 11 17 17 12.612414 12.086897 13.137931 0.080872703 0.89473684 0.89473684
## 12 19 19 13.663448 13.137931 14.188966 0.090387139 1.00000000 1.00000000
## 13 15 15 14.714483 14.188966 15.240000 0.071358268 0.78947368 0.78947368
## 14 13 13 15.765517 15.240000 16.291034 0.061843832 0.68421053 0.68421053
## 15 5 5 16.816552 16.291034 17.342069 0.023786089 0.26315789 0.26315789
## 16 14 14 17.867586 17.342069 18.393103 0.066601050 0.73684211 0.73684211
## 17 11 11 18.918621 18.393103 19.444138 0.052329396 0.57894737 0.57894737
## 18 5 5 19.969655 19.444138 20.495172 0.023786089 0.26315789 0.26315789
## 19 8 8 21.020690 20.495172 21.546207 0.038057743 0.42105263 0.42105263
## 20 6 6 22.071724 21.546207 22.597241 0.028543307 0.31578947 0.31578947
## 21 10 10 23.122759 22.597241 23.648276 0.047572178 0.52631579 0.52631579
## 22 4 4 24.173793 23.648276 24.699310 0.019028871 0.21052632 0.21052632
## 23 6 6 25.224828 24.699310 25.750345 0.028543307 0.31578947 0.31578947
## 24 6 6 26.275862 25.750345 26.801379 0.028543307 0.31578947 0.31578947
## 25 4 4 27.326897 26.801379 27.852414 0.019028871 0.21052632 0.21052632
## 26 3 3 28.377931 27.852414 28.903448 0.014271654 0.15789474 0.15789474
## 27 3 3 29.428966 28.903448 29.954483 0.014271654 0.15789474 0.15789474
## 28 4 4 30.480000 29.954483 31.005517 0.019028871 0.21052632 0.21052632
## 29 1 1 31.531034 31.005517 32.056552 0.004757218 0.05263158 0.05263158
## 30 1 1 32.582069 32.056552 33.107586 0.004757218 0.05263158 0.05263158
## flipped_aes PANEL group ymin ymax colour fill linewidth linetype alpha
## 1 FALSE 1 -1 0 1 NA blue 0.5 1 NA
## 2 FALSE 1 -1 0 0 NA blue 0.5 1 NA
## 3 FALSE 1 -1 0 1 NA blue 0.5 1 NA
## 4 FALSE 1 -1 0 1 NA blue 0.5 1 NA
## 5 FALSE 1 -1 0 4 NA blue 0.5 1 NA
## 6 FALSE 1 -1 0 2 NA blue 0.5 1 NA
## 7 FALSE 1 -1 0 9 NA blue 0.5 1 NA
## 8 FALSE 1 -1 0 4 NA blue 0.5 1 NA
## 9 FALSE 1 -1 0 8 NA blue 0.5 1 NA
## 10 FALSE 1 -1 0 15 NA blue 0.5 1 NA
## 11 FALSE 1 -1 0 17 NA blue 0.5 1 NA
## 12 FALSE 1 -1 0 19 NA blue 0.5 1 NA
## 13 FALSE 1 -1 0 15 NA blue 0.5 1 NA
## 14 FALSE 1 -1 0 13 NA blue 0.5 1 NA
## 15 FALSE 1 -1 0 5 NA blue 0.5 1 NA
## 16 FALSE 1 -1 0 14 NA blue 0.5 1 NA
## 17 FALSE 1 -1 0 11 NA blue 0.5 1 NA
## 18 FALSE 1 -1 0 5 NA blue 0.5 1 NA
## 19 FALSE 1 -1 0 8 NA blue 0.5 1 NA
## 20 FALSE 1 -1 0 6 NA blue 0.5 1 NA
## 21 FALSE 1 -1 0 10 NA blue 0.5 1 NA
## 22 FALSE 1 -1 0 4 NA blue 0.5 1 NA
## 23 FALSE 1 -1 0 6 NA blue 0.5 1 NA
## 24 FALSE 1 -1 0 6 NA blue 0.5 1 NA
## 25 FALSE 1 -1 0 4 NA blue 0.5 1 NA
## 26 FALSE 1 -1 0 3 NA blue 0.5 1 NA
## 27 FALSE 1 -1 0 3 NA blue 0.5 1 NA
## 28 FALSE 1 -1 0 4 NA blue 0.5 1 NA
## 29 FALSE 1 -1 0 1 NA blue 0.5 1 NA
## 30 FALSE 1 -1 0 1 NA blue 0.5 1 NA
##
##
## $layout
## <ggproto object: Class Layout, gg>
## coord: <ggproto object: Class CoordCartesian, Coord, gg>
## aspect: function
## backtransform_range: function
## clip: on
## default: TRUE
## distance: function
## expand: TRUE
## is_free: function
## is_linear: function
## labels: function
## limits: list
## modify_scales: function
## range: function
## render_axis_h: function
## render_axis_v: function
## render_bg: function
## render_fg: function
## setup_data: function
## setup_layout: function
## setup_panel_guides: function
## setup_panel_params: function
## setup_params: function
## train_panel_guides: function
## transform: function
## super: <ggproto object: Class CoordCartesian, Coord, gg>
## coord_params: list
## facet: <ggproto object: Class FacetNull, Facet, gg>
## compute_layout: function
## draw_back: function
## draw_front: function
## draw_labels: function
## draw_panels: function
## finish_data: function
## init_scales: function
## map_data: function
## params: list
## setup_data: function
## setup_params: function
## shrink: TRUE
## train_scales: function
## vars: function
## super: <ggproto object: Class FacetNull, Facet, gg>
## facet_params: list
## finish_data: function
## get_scales: function
## layout: data.frame
## map_position: function
## panel_params: list
## panel_scales_x: list
## panel_scales_y: list
## render: function
## render_labels: function
## reset_scales: function
## resolve_label: function
## setup: function
## setup_panel_guides: function
## setup_panel_params: function
## train_position: function
## super: <ggproto object: Class Layout, gg>
##
## $plot## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
## attr(,"class")
## [1] "ggplot_built"g2=ggplot(data=marketing,mapping= aes(x=newspaper,y=sales))+geom_point()+theme_bw()+geom_smooth()
ggplot_build(g2)## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'## $data
## $data[[1]]
## x y PANEL group shape colour size fill alpha stroke
## 1 83.04 26.52 1 -1 19 black 1.5 NA NA 0.5
## 2 54.12 12.48 1 -1 19 black 1.5 NA NA 0.5
## 3 83.16 11.16 1 -1 19 black 1.5 NA NA 0.5
## 4 70.20 22.20 1 -1 19 black 1.5 NA NA 0.5
## 5 70.08 15.48 1 -1 19 black 1.5 NA NA 0.5
## 6 90.00 8.64 1 -1 19 black 1.5 NA NA 0.5
## 7 28.20 14.16 1 -1 19 black 1.5 NA NA 0.5
## 8 13.92 15.84 1 -1 19 black 1.5 NA NA 0.5
## 9 1.20 5.76 1 -1 19 black 1.5 NA NA 0.5
## 10 25.44 12.72 1 -1 19 black 1.5 NA NA 0.5
## 11 29.04 10.32 1 -1 19 black 1.5 NA NA 0.5
## 12 4.80 20.88 1 -1 19 black 1.5 NA NA 0.5
## 13 79.08 11.04 1 -1 19 black 1.5 NA NA 0.5
## 14 8.64 11.64 1 -1 19 black 1.5 NA NA 0.5
## 15 55.20 22.80 1 -1 19 black 1.5 NA NA 0.5
## 16 63.48 26.88 1 -1 19 black 1.5 NA NA 0.5
## 17 136.80 15.00 1 -1 19 black 1.5 NA NA 0.5
## 18 66.96 29.28 1 -1 19 black 1.5 NA NA 0.5
## 19 21.96 13.56 1 -1 19 black 1.5 NA NA 0.5
## 20 22.92 17.52 1 -1 19 black 1.5 NA NA 0.5
## 21 64.08 21.60 1 -1 19 black 1.5 NA NA 0.5
## 22 28.20 15.00 1 -1 19 black 1.5 NA NA 0.5
## 23 59.52 6.72 1 -1 19 black 1.5 NA NA 0.5
## 24 31.44 18.60 1 -1 19 black 1.5 NA NA 0.5
## 25 21.96 11.64 1 -1 19 black 1.5 NA NA 0.5
## 26 23.40 14.40 1 -1 19 black 1.5 NA NA 0.5
## 27 15.12 18.00 1 -1 19 black 1.5 NA NA 0.5
## 28 27.48 19.08 1 -1 19 black 1.5 NA NA 0.5
## 29 27.48 22.68 1 -1 19 black 1.5 NA NA 0.5
## 30 48.96 12.60 1 -1 19 black 1.5 NA NA 0.5
## 31 51.84 25.68 1 -1 19 black 1.5 NA NA 0.5
## 32 46.32 14.28 1 -1 19 black 1.5 NA NA 0.5
## 33 36.00 11.52 1 -1 19 black 1.5 NA NA 0.5
## 34 0.36 20.88 1 -1 19 black 1.5 NA NA 0.5
## 35 8.88 11.40 1 -1 19 black 1.5 NA NA 0.5
## 36 10.20 15.36 1 -1 19 black 1.5 NA NA 0.5
## 37 6.00 30.48 1 -1 19 black 1.5 NA NA 0.5
## 38 54.84 17.64 1 -1 19 black 1.5 NA NA 0.5
## 39 42.12 12.12 1 -1 19 black 1.5 NA NA 0.5
## 40 38.40 25.80 1 -1 19 black 1.5 NA NA 0.5
## 41 37.92 19.92 1 -1 19 black 1.5 NA NA 0.5
## 42 46.44 20.52 1 -1 19 black 1.5 NA NA 0.5
## 43 2.16 24.84 1 -1 19 black 1.5 NA NA 0.5
## 44 31.68 15.48 1 -1 19 black 1.5 NA NA 0.5
## 45 51.96 10.20 1 -1 19 black 1.5 NA NA 0.5
## 46 37.80 17.88 1 -1 19 black 1.5 NA NA 0.5
## 47 42.84 12.72 1 -1 19 black 1.5 NA NA 0.5
## 48 22.20 27.84 1 -1 19 black 1.5 NA NA 0.5
## 49 59.88 17.76 1 -1 19 black 1.5 NA NA 0.5
## 50 44.16 11.64 1 -1 19 black 1.5 NA NA 0.5
## 51 41.52 13.68 1 -1 19 black 1.5 NA NA 0.5
## 52 4.32 12.84 1 -1 19 black 1.5 NA NA 0.5
## 53 47.52 27.12 1 -1 19 black 1.5 NA NA 0.5
## 54 70.44 25.44 1 -1 19 black 1.5 NA NA 0.5
## 55 19.08 24.24 1 -1 19 black 1.5 NA NA 0.5
## 56 72.00 28.44 1 -1 19 black 1.5 NA NA 0.5
## 57 49.68 6.60 1 -1 19 black 1.5 NA NA 0.5
## 58 19.92 15.84 1 -1 19 black 1.5 NA NA 0.5
## 59 45.24 28.56 1 -1 19 black 1.5 NA NA 0.5
## 60 11.16 22.08 1 -1 19 black 1.5 NA NA 0.5
## 61 25.68 9.72 1 -1 19 black 1.5 NA NA 0.5
## 62 65.64 29.04 1 -1 19 black 1.5 NA NA 0.5
## 63 32.76 18.84 1 -1 19 black 1.5 NA NA 0.5
## 64 10.08 16.80 1 -1 19 black 1.5 NA NA 0.5
## 65 34.68 21.60 1 -1 19 black 1.5 NA NA 0.5
## 66 1.08 11.16 1 -1 19 black 1.5 NA NA 0.5
## 67 2.64 11.40 1 -1 19 black 1.5 NA NA 0.5
## 68 12.24 16.08 1 -1 19 black 1.5 NA NA 0.5
## 69 13.20 22.68 1 -1 19 black 1.5 NA NA 0.5
## 70 32.64 26.76 1 -1 19 black 1.5 NA NA 0.5
## 71 46.44 21.96 1 -1 19 black 1.5 NA NA 0.5
## 72 38.04 14.88 1 -1 19 black 1.5 NA NA 0.5
## 73 23.16 10.56 1 -1 19 black 1.5 NA NA 0.5
## 74 37.56 13.20 1 -1 19 black 1.5 NA NA 0.5
## 75 15.72 20.40 1 -1 19 black 1.5 NA NA 0.5
## 76 107.28 10.44 1 -1 19 black 1.5 NA NA 0.5
## 77 24.84 8.28 1 -1 19 black 1.5 NA NA 0.5
## 78 17.04 17.04 1 -1 19 black 1.5 NA NA 0.5
## 79 11.28 6.36 1 -1 19 black 1.5 NA NA 0.5
## 80 27.72 13.20 1 -1 19 black 1.5 NA NA 0.5
## 81 26.76 14.16 1 -1 19 black 1.5 NA NA 0.5
## 82 44.28 14.76 1 -1 19 black 1.5 NA NA 0.5
## 83 39.00 13.56 1 -1 19 black 1.5 NA NA 0.5
## 84 42.72 16.32 1 -1 19 black 1.5 NA NA 0.5
## 85 40.56 26.04 1 -1 19 black 1.5 NA NA 0.5
## 86 78.84 18.24 1 -1 19 black 1.5 NA NA 0.5
## 87 19.20 14.40 1 -1 19 black 1.5 NA NA 0.5
## 88 75.84 19.20 1 -1 19 black 1.5 NA NA 0.5
## 89 88.08 15.48 1 -1 19 black 1.5 NA NA 0.5
## 90 61.68 20.04 1 -1 19 black 1.5 NA NA 0.5
## 91 11.16 13.44 1 -1 19 black 1.5 NA NA 0.5
## 92 39.60 8.76 1 -1 19 black 1.5 NA NA 0.5
## 93 70.80 23.28 1 -1 19 black 1.5 NA NA 0.5
## 94 86.76 26.64 1 -1 19 black 1.5 NA NA 0.5
## 95 13.08 13.80 1 -1 19 black 1.5 NA NA 0.5
## 96 63.48 20.28 1 -1 19 black 1.5 NA NA 0.5
## 97 7.08 14.04 1 -1 19 black 1.5 NA NA 0.5
## 98 26.40 18.60 1 -1 19 black 1.5 NA NA 0.5
## 99 61.44 30.48 1 -1 19 black 1.5 NA NA 0.5
## 100 55.08 20.64 1 -1 19 black 1.5 NA NA 0.5
## 101 59.76 14.04 1 -1 19 black 1.5 NA NA 0.5
## 102 121.08 28.56 1 -1 19 black 1.5 NA NA 0.5
## 103 25.68 17.76 1 -1 19 black 1.5 NA NA 0.5
## 104 21.48 17.64 1 -1 19 black 1.5 NA NA 0.5
## 105 6.36 24.84 1 -1 19 black 1.5 NA NA 0.5
## 106 70.80 23.04 1 -1 19 black 1.5 NA NA 0.5
## 107 35.64 8.64 1 -1 19 black 1.5 NA NA 0.5
## 108 27.84 10.44 1 -1 19 black 1.5 NA NA 0.5
## 109 30.72 6.36 1 -1 19 black 1.5 NA NA 0.5
## 110 6.60 23.76 1 -1 19 black 1.5 NA NA 0.5
## 111 67.80 16.08 1 -1 19 black 1.5 NA NA 0.5
## 112 27.84 26.16 1 -1 19 black 1.5 NA NA 0.5
## 113 2.88 16.92 1 -1 19 black 1.5 NA NA 0.5
## 114 12.84 19.08 1 -1 19 black 1.5 NA NA 0.5
## 115 41.40 17.52 1 -1 19 black 1.5 NA NA 0.5
## 116 63.24 15.12 1 -1 19 black 1.5 NA NA 0.5
## 117 30.72 14.64 1 -1 19 black 1.5 NA NA 0.5
## 118 17.76 11.28 1 -1 19 black 1.5 NA NA 0.5
## 119 95.04 19.08 1 -1 19 black 1.5 NA NA 0.5
## 120 26.76 7.92 1 -1 19 black 1.5 NA NA 0.5
## 121 55.44 18.60 1 -1 19 black 1.5 NA NA 0.5
## 122 60.48 8.40 1 -1 19 black 1.5 NA NA 0.5
## 123 18.72 13.92 1 -1 19 black 1.5 NA NA 0.5
## 124 14.88 18.24 1 -1 19 black 1.5 NA NA 0.5
## 125 89.04 23.64 1 -1 19 black 1.5 NA NA 0.5
## 126 31.08 12.72 1 -1 19 black 1.5 NA NA 0.5
## 127 60.72 7.92 1 -1 19 black 1.5 NA NA 0.5
## 128 11.04 10.56 1 -1 19 black 1.5 NA NA 0.5
## 129 3.84 29.64 1 -1 19 black 1.5 NA NA 0.5
## 130 51.72 11.64 1 -1 19 black 1.5 NA NA 0.5
## 131 10.44 1.92 1 -1 19 black 1.5 NA NA 0.5
## 132 51.60 15.24 1 -1 19 black 1.5 NA NA 0.5
## 133 2.52 6.84 1 -1 19 black 1.5 NA NA 0.5
## 134 54.12 23.52 1 -1 19 black 1.5 NA NA 0.5
## 135 78.72 12.96 1 -1 19 black 1.5 NA NA 0.5
## 136 10.20 13.92 1 -1 19 black 1.5 NA NA 0.5
## 137 11.16 11.40 1 -1 19 black 1.5 NA NA 0.5
## 138 71.64 24.96 1 -1 19 black 1.5 NA NA 0.5
## 139 24.60 11.52 1 -1 19 black 1.5 NA NA 0.5
## 140 2.04 24.84 1 -1 19 black 1.5 NA NA 0.5
## 141 15.48 13.08 1 -1 19 black 1.5 NA NA 0.5
## 142 90.72 23.04 1 -1 19 black 1.5 NA NA 0.5
## 143 45.48 24.12 1 -1 19 black 1.5 NA NA 0.5
## 144 41.28 12.48 1 -1 19 black 1.5 NA NA 0.5
## 145 46.68 13.68 1 -1 19 black 1.5 NA NA 0.5
## 146 10.80 12.36 1 -1 19 black 1.5 NA NA 0.5
## 147 10.44 15.84 1 -1 19 black 1.5 NA NA 0.5
## 148 53.16 30.48 1 -1 19 black 1.5 NA NA 0.5
## 149 14.28 13.08 1 -1 19 black 1.5 NA NA 0.5
## 150 24.72 12.12 1 -1 19 black 1.5 NA NA 0.5
## 151 44.40 19.32 1 -1 19 black 1.5 NA NA 0.5
## 152 58.44 13.92 1 -1 19 black 1.5 NA NA 0.5
## 153 17.04 19.92 1 -1 19 black 1.5 NA NA 0.5
## 154 45.24 22.80 1 -1 19 black 1.5 NA NA 0.5
## 155 11.40 18.72 1 -1 19 black 1.5 NA NA 0.5
## 156 6.84 3.84 1 -1 19 black 1.5 NA NA 0.5
## 157 60.60 18.36 1 -1 19 black 1.5 NA NA 0.5
## 158 29.16 12.12 1 -1 19 black 1.5 NA NA 0.5
## 159 54.24 8.76 1 -1 19 black 1.5 NA NA 0.5
## 160 41.52 15.48 1 -1 19 black 1.5 NA NA 0.5
## 161 36.84 17.28 1 -1 19 black 1.5 NA NA 0.5
## 162 59.16 15.96 1 -1 19 black 1.5 NA NA 0.5
## 163 30.72 17.88 1 -1 19 black 1.5 NA NA 0.5
## 164 8.88 21.60 1 -1 19 black 1.5 NA NA 0.5
## 165 6.48 14.28 1 -1 19 black 1.5 NA NA 0.5
## 166 101.76 14.28 1 -1 19 black 1.5 NA NA 0.5
## 167 25.92 9.60 1 -1 19 black 1.5 NA NA 0.5
## 168 23.28 14.64 1 -1 19 black 1.5 NA NA 0.5
## 169 69.12 20.52 1 -1 19 black 1.5 NA NA 0.5
## 170 7.68 18.00 1 -1 19 black 1.5 NA NA 0.5
## 171 22.08 10.08 1 -1 19 black 1.5 NA NA 0.5
## 172 56.88 17.40 1 -1 19 black 1.5 NA NA 0.5
## 173 20.40 9.12 1 -1 19 black 1.5 NA NA 0.5
## 174 15.36 14.04 1 -1 19 black 1.5 NA NA 0.5
## 175 15.72 13.80 1 -1 19 black 1.5 NA NA 0.5
## 176 50.16 32.40 1 -1 19 black 1.5 NA NA 0.5
## 177 24.36 24.24 1 -1 19 black 1.5 NA NA 0.5
## 178 42.24 14.04 1 -1 19 black 1.5 NA NA 0.5
## 179 28.44 14.16 1 -1 19 black 1.5 NA NA 0.5
## 180 21.12 15.12 1 -1 19 black 1.5 NA NA 0.5
## 181 9.96 12.60 1 -1 19 black 1.5 NA NA 0.5
## 182 32.88 14.64 1 -1 19 black 1.5 NA NA 0.5
## 183 35.64 10.44 1 -1 19 black 1.5 NA NA 0.5
## 184 86.16 31.44 1 -1 19 black 1.5 NA NA 0.5
## 185 36.00 21.12 1 -1 19 black 1.5 NA NA 0.5
## 186 23.52 27.12 1 -1 19 black 1.5 NA NA 0.5
## 187 31.92 12.36 1 -1 19 black 1.5 NA NA 0.5
## 188 21.84 20.76 1 -1 19 black 1.5 NA NA 0.5
## 189 4.44 19.08 1 -1 19 black 1.5 NA NA 0.5
## 190 28.08 8.04 1 -1 19 black 1.5 NA NA 0.5
## 191 6.96 12.96 1 -1 19 black 1.5 NA NA 0.5
## 192 7.20 11.88 1 -1 19 black 1.5 NA NA 0.5
## 193 37.92 7.08 1 -1 19 black 1.5 NA NA 0.5
## 194 4.32 23.52 1 -1 19 black 1.5 NA NA 0.5
## 195 7.20 20.76 1 -1 19 black 1.5 NA NA 0.5
## 196 16.56 9.12 1 -1 19 black 1.5 NA NA 0.5
## 197 9.72 11.64 1 -1 19 black 1.5 NA NA 0.5
## 198 7.68 15.36 1 -1 19 black 1.5 NA NA 0.5
## 199 79.44 30.60 1 -1 19 black 1.5 NA NA 0.5
## 200 10.44 16.08 1 -1 19 black 1.5 NA NA 0.5
##
## $data[[2]]
## x y ymin ymax se flipped_aes PANEL group
## 1 0.360000 17.46590 14.275191 20.65660 1.6178123 FALSE 1 -1
## 2 2.087089 17.10070 14.402345 19.79906 1.3681720 FALSE 1 -1
## 3 3.814177 16.76430 14.491508 19.03710 1.1523958 FALSE 1 -1
## 4 5.541266 16.45633 14.533565 18.37909 0.9749154 FALSE 1 -1
## 5 7.268354 16.17640 14.520555 17.83224 0.8395761 FALSE 1 -1
## 6 8.995443 15.92409 14.449557 17.39862 0.7476449 FALSE 1 -1
## 7 10.722532 15.69796 14.325560 17.07037 0.6958629 FALSE 1 -1
## 8 12.449620 15.49848 14.162981 16.83397 0.6771484 FALSE 1 -1
## 9 14.176709 15.32696 13.981443 16.67247 0.6822279 FALSE 1 -1
## 10 15.903797 15.18424 13.801888 16.56659 0.7009048 FALSE 1 -1
## 11 17.630886 15.06821 13.647016 16.48940 0.7206002 FALSE 1 -1
## 12 19.357975 14.97994 13.522180 16.43770 0.7391419 FALSE 1 -1
## 13 21.085063 14.92125 13.429490 16.41300 0.7563792 FALSE 1 -1
## 14 22.812152 14.89394 13.375682 16.41220 0.7698169 FALSE 1 -1
## 15 24.539241 14.90164 13.376271 16.42702 0.7734241 FALSE 1 -1
## 16 26.266329 14.94972 13.430525 16.46891 0.7702900 FALSE 1 -1
## 17 27.993418 15.03125 13.491698 16.57079 0.7806109 FALSE 1 -1
## 18 29.720506 15.13817 13.560488 16.71584 0.7999446 FALSE 1 -1
## 19 31.447595 15.26676 13.687434 16.84609 0.8007806 FALSE 1 -1
## 20 33.174684 15.44207 13.899453 16.98469 0.7821689 FALSE 1 -1
## 21 34.901772 15.65493 14.137451 17.17240 0.7694190 FALSE 1 -1
## 22 36.628861 15.88739 14.349174 17.42560 0.7799342 FALSE 1 -1
## 23 38.355949 16.12153 14.518989 17.72407 0.8125496 FALSE 1 -1
## 24 40.083038 16.33942 14.665825 18.01301 0.8485768 FALSE 1 -1
## 25 41.810127 16.52429 14.822299 18.22628 0.8629746 FALSE 1 -1
## 26 43.537215 16.71345 15.032374 18.39453 0.8523729 FALSE 1 -1
## 27 45.264304 16.92760 15.286948 18.56825 0.8318747 FALSE 1 -1
## 28 46.991392 17.16026 15.556006 18.76451 0.8134185 FALSE 1 -1
## 29 48.718481 17.40496 15.817234 18.99268 0.8050373 FALSE 1 -1
## 30 50.445570 17.65523 16.061304 19.24915 0.8081808 FALSE 1 -1
## 31 52.172658 17.90459 16.292197 19.51699 0.8175487 FALSE 1 -1
## 32 53.899747 18.14659 16.521522 19.77166 0.8239747 FALSE 1 -1
## 33 55.626835 18.38547 16.761832 20.00910 0.8232456 FALSE 1 -1
## 34 57.353924 18.63178 17.012421 20.25114 0.8210796 FALSE 1 -1
## 35 59.081013 18.87902 17.261909 20.49613 0.8199395 FALSE 1 -1
## 36 60.808101 19.12043 17.500176 20.74069 0.8215328 FALSE 1 -1
## 37 62.535190 19.34926 17.718931 20.97959 0.8266398 FALSE 1 -1
## 38 64.262278 19.55875 17.911820 21.20568 0.8350584 FALSE 1 -1
## 39 65.989367 19.74216 18.074116 21.41020 0.8457616 FALSE 1 -1
## 40 67.716456 19.89272 18.202034 21.58341 0.8572445 FALSE 1 -1
## 41 69.443544 20.00369 18.291782 21.71561 0.8680061 FALSE 1 -1
## 42 71.170633 20.07680 18.344489 21.80912 0.8783514 FALSE 1 -1
## 43 72.897722 20.13943 18.379845 21.89902 0.8921793 FALSE 1 -1
## 44 74.624810 20.19424 18.401440 21.98704 0.9090200 FALSE 1 -1
## 45 76.351899 20.24115 18.410552 22.07176 0.9281870 FALSE 1 -1
## 46 78.078987 20.28010 18.408018 22.15218 0.9492187 FALSE 1 -1
## 47 79.806076 20.31100 18.394261 22.22774 0.9718630 FALSE 1 -1
## 48 81.533165 20.33379 18.369329 22.29824 0.9960571 FALSE 1 -1
## 49 83.260253 20.34838 18.332944 22.36381 1.0219044 FALSE 1 -1
## 50 84.987342 20.35470 18.284547 22.42486 1.0496503 FALSE 1 -1
## 51 86.714430 20.35269 18.223347 22.48203 1.0796589 FALSE 1 -1
## 52 88.441519 20.34225 18.148365 22.53614 1.1123878 FALSE 1 -1
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## 58 98.804051 20.09874 17.343361 22.85412 1.3970852 FALSE 1 -1
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## 60 102.258228 19.94686 16.912366 22.98135 1.5386058 FALSE 1 -1
## 61 103.985316 19.85732 16.662242 23.05240 1.6200312 FALSE 1 -1
## 62 105.712405 19.75863 16.388238 23.12901 1.7089185 FALSE 1 -1
## 63 107.439494 19.65069 16.089923 23.21146 1.8054494 FALSE 1 -1
## 64 109.166582 19.53345 15.766978 23.29992 1.9097470 FALSE 1 -1
## 65 110.893671 19.40682 15.419186 23.39445 2.0218847 FALSE 1 -1
## 66 112.620759 19.27073 15.046407 23.49504 2.1418944 FALSE 1 -1
## 67 114.347848 19.12510 14.648571 23.60163 2.2697747 FALSE 1 -1
## 68 116.074937 18.96986 14.225656 23.71407 2.4054984 FALSE 1 -1
## 69 117.802025 18.80494 13.777679 23.83221 2.5490195 FALSE 1 -1
## 70 119.529114 18.63026 13.304684 23.95585 2.7002780 FALSE 1 -1
## 71 121.256203 18.44575 12.806730 24.08477 2.8592049 FALSE 1 -1
## 72 122.983291 18.25133 12.283893 24.21877 3.0257255 FALSE 1 -1
## 73 124.710380 18.04693 11.736250 24.35761 3.1997618 FALSE 1 -1
## 74 126.437468 17.83247 11.163883 24.50106 3.3812352 FALSE 1 -1
## 75 128.164557 17.60788 10.566870 24.64889 3.5700675 FALSE 1 -1
## 76 129.891646 17.37308 9.945290 24.80088 3.7661817 FALSE 1 -1
## 77 131.618734 17.12800 9.299213 24.95680 3.9695035 FALSE 1 -1
## 78 133.345823 16.87257 8.628708 25.11643 4.1799611 FALSE 1 -1
## 79 135.072911 16.60671 7.933835 25.27958 4.3974855 FALSE 1 -1
## 80 136.800000 16.33034 7.214650 25.44603 4.6220112 FALSE 1 -1
## colour fill linewidth linetype weight alpha
## 1 #3366FF grey60 1 1 1 0.4
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##
##
## $layout
## <ggproto object: Class Layout, gg>
## coord: <ggproto object: Class CoordCartesian, Coord, gg>
## aspect: function
## backtransform_range: function
## clip: on
## default: TRUE
## distance: function
## expand: TRUE
## is_free: function
## is_linear: function
## labels: function
## limits: list
## modify_scales: function
## range: function
## render_axis_h: function
## render_axis_v: function
## render_bg: function
## render_fg: function
## setup_data: function
## setup_layout: function
## setup_panel_guides: function
## setup_panel_params: function
## setup_params: function
## train_panel_guides: function
## transform: function
## super: <ggproto object: Class CoordCartesian, Coord, gg>
## coord_params: list
## facet: <ggproto object: Class FacetNull, Facet, gg>
## compute_layout: function
## draw_back: function
## draw_front: function
## draw_labels: function
## draw_panels: function
## finish_data: function
## init_scales: function
## map_data: function
## params: list
## setup_data: function
## setup_params: function
## shrink: TRUE
## train_scales: function
## vars: function
## super: <ggproto object: Class FacetNull, Facet, gg>
## facet_params: list
## finish_data: function
## get_scales: function
## layout: data.frame
## map_position: function
## panel_params: list
## panel_scales_x: list
## panel_scales_y: list
## render: function
## render_labels: function
## reset_scales: function
## resolve_label: function
## setup: function
## setup_panel_guides: function
## setup_panel_params: function
## train_position: function
## super: <ggproto object: Class Layout, gg>
##
## $plot## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
##
## attr(,"class")
## [1] "ggplot_built"cor(marketing$newspaper,marketing$sales)## [1] 0.228299g3=ggplot(data=marketing,mapping= aes(x=facebook,y=sales))+geom_point()+theme_bw()+geom_smooth()
ggplot_build(g3)## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'## $data
## $data[[1]]
## x y PANEL group shape colour size fill alpha stroke
## 1 45.36 26.52 1 -1 19 black 1.5 NA NA 0.5
## 2 47.16 12.48 1 -1 19 black 1.5 NA NA 0.5
## 3 55.08 11.16 1 -1 19 black 1.5 NA NA 0.5
## 4 49.56 22.20 1 -1 19 black 1.5 NA NA 0.5
## 5 12.96 15.48 1 -1 19 black 1.5 NA NA 0.5
## 6 58.68 8.64 1 -1 19 black 1.5 NA NA 0.5
## 7 39.36 14.16 1 -1 19 black 1.5 NA NA 0.5
## 8 23.52 15.84 1 -1 19 black 1.5 NA NA 0.5
## 9 2.52 5.76 1 -1 19 black 1.5 NA NA 0.5
## 10 3.12 12.72 1 -1 19 black 1.5 NA NA 0.5
## 11 6.96 10.32 1 -1 19 black 1.5 NA NA 0.5
## 12 28.80 20.88 1 -1 19 black 1.5 NA NA 0.5
## 13 42.12 11.04 1 -1 19 black 1.5 NA NA 0.5
## 14 9.12 11.64 1 -1 19 black 1.5 NA NA 0.5
## 15 39.48 22.80 1 -1 19 black 1.5 NA NA 0.5
## 16 57.24 26.88 1 -1 19 black 1.5 NA NA 0.5
## 17 43.92 15.00 1 -1 19 black 1.5 NA NA 0.5
## 18 47.52 29.28 1 -1 19 black 1.5 NA NA 0.5
## 19 24.60 13.56 1 -1 19 black 1.5 NA NA 0.5
## 20 28.68 17.52 1 -1 19 black 1.5 NA NA 0.5
## 21 33.24 21.60 1 -1 19 black 1.5 NA NA 0.5
## 22 6.12 15.00 1 -1 19 black 1.5 NA NA 0.5
## 23 19.08 6.72 1 -1 19 black 1.5 NA NA 0.5
## 24 20.28 18.60 1 -1 19 black 1.5 NA NA 0.5
## 25 15.12 11.64 1 -1 19 black 1.5 NA NA 0.5
## 26 4.20 14.40 1 -1 19 black 1.5 NA NA 0.5
## 27 35.16 18.00 1 -1 19 black 1.5 NA NA 0.5
## 28 20.04 19.08 1 -1 19 black 1.5 NA NA 0.5
## 29 32.52 22.68 1 -1 19 black 1.5 NA NA 0.5
## 30 19.20 12.60 1 -1 19 black 1.5 NA NA 0.5
## 31 33.96 25.68 1 -1 19 black 1.5 NA NA 0.5
## 32 20.88 14.28 1 -1 19 black 1.5 NA NA 0.5
## 33 1.80 11.52 1 -1 19 black 1.5 NA NA 0.5
## 34 24.00 20.88 1 -1 19 black 1.5 NA NA 0.5
## 35 1.68 11.40 1 -1 19 black 1.5 NA NA 0.5
## 36 4.92 15.36 1 -1 19 black 1.5 NA NA 0.5
## 37 52.56 30.48 1 -1 19 black 1.5 NA NA 0.5
## 38 59.28 17.64 1 -1 19 black 1.5 NA NA 0.5
## 39 32.04 12.12 1 -1 19 black 1.5 NA NA 0.5
## 40 45.24 25.80 1 -1 19 black 1.5 NA NA 0.5
## 41 26.76 19.92 1 -1 19 black 1.5 NA NA 0.5
## 42 40.08 20.52 1 -1 19 black 1.5 NA NA 0.5
## 43 33.24 24.84 1 -1 19 black 1.5 NA NA 0.5
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## 45 30.84 10.20 1 -1 19 black 1.5 NA NA 0.5
## 46 27.00 17.88 1 -1 19 black 1.5 NA NA 0.5
## 47 11.88 12.72 1 -1 19 black 1.5 NA NA 0.5
## 48 49.80 27.84 1 -1 19 black 1.5 NA NA 0.5
## 49 18.96 17.76 1 -1 19 black 1.5 NA NA 0.5
## 50 14.04 11.64 1 -1 19 black 1.5 NA NA 0.5
## 51 3.72 13.68 1 -1 19 black 1.5 NA NA 0.5
## 52 11.52 12.84 1 -1 19 black 1.5 NA NA 0.5
## 53 50.04 27.12 1 -1 19 black 1.5 NA NA 0.5
## 54 55.44 25.44 1 -1 19 black 1.5 NA NA 0.5
## 55 34.56 24.24 1 -1 19 black 1.5 NA NA 0.5
## 56 59.28 28.44 1 -1 19 black 1.5 NA NA 0.5
## 57 33.72 6.60 1 -1 19 black 1.5 NA NA 0.5
## 58 23.04 15.84 1 -1 19 black 1.5 NA NA 0.5
## 59 59.52 28.56 1 -1 19 black 1.5 NA NA 0.5
## 60 35.40 22.08 1 -1 19 black 1.5 NA NA 0.5
## 61 2.40 9.72 1 -1 19 black 1.5 NA NA 0.5
## 62 51.24 29.04 1 -1 19 black 1.5 NA NA 0.5
## 63 18.60 18.84 1 -1 19 black 1.5 NA NA 0.5
## 64 35.52 16.80 1 -1 19 black 1.5 NA NA 0.5
## 65 51.36 21.60 1 -1 19 black 1.5 NA NA 0.5
## 66 11.16 11.16 1 -1 19 black 1.5 NA NA 0.5
## 67 29.52 11.40 1 -1 19 black 1.5 NA NA 0.5
## 68 17.40 16.08 1 -1 19 black 1.5 NA NA 0.5
## 69 33.00 22.68 1 -1 19 black 1.5 NA NA 0.5
## 70 52.68 26.76 1 -1 19 black 1.5 NA NA 0.5
## 71 36.72 21.96 1 -1 19 black 1.5 NA NA 0.5
## 72 17.16 14.88 1 -1 19 black 1.5 NA NA 0.5
## 73 39.60 10.56 1 -1 19 black 1.5 NA NA 0.5
## 74 6.84 13.20 1 -1 19 black 1.5 NA NA 0.5
## 75 29.52 20.40 1 -1 19 black 1.5 NA NA 0.5
## 76 52.44 10.44 1 -1 19 black 1.5 NA NA 0.5
## 77 1.92 8.28 1 -1 19 black 1.5 NA NA 0.5
## 78 34.20 17.04 1 -1 19 black 1.5 NA NA 0.5
## 79 35.88 6.36 1 -1 19 black 1.5 NA NA 0.5
## 80 9.24 13.20 1 -1 19 black 1.5 NA NA 0.5
## 81 32.04 14.16 1 -1 19 black 1.5 NA NA 0.5
## 82 4.92 14.76 1 -1 19 black 1.5 NA NA 0.5
## 83 24.36 13.56 1 -1 19 black 1.5 NA NA 0.5
## 84 53.40 16.32 1 -1 19 black 1.5 NA NA 0.5
## 85 51.60 26.04 1 -1 19 black 1.5 NA NA 0.5
## 86 22.08 18.24 1 -1 19 black 1.5 NA NA 0.5
## 87 33.00 14.40 1 -1 19 black 1.5 NA NA 0.5
## 88 48.72 19.20 1 -1 19 black 1.5 NA NA 0.5
## 89 30.60 15.48 1 -1 19 black 1.5 NA NA 0.5
## 90 57.36 20.04 1 -1 19 black 1.5 NA NA 0.5
## 91 5.88 13.44 1 -1 19 black 1.5 NA NA 0.5
## 92 1.80 8.76 1 -1 19 black 1.5 NA NA 0.5
## 93 40.20 23.28 1 -1 19 black 1.5 NA NA 0.5
## 94 43.80 26.64 1 -1 19 black 1.5 NA NA 0.5
## 95 16.80 13.80 1 -1 19 black 1.5 NA NA 0.5
## 96 37.92 20.28 1 -1 19 black 1.5 NA NA 0.5
## 97 4.20 14.04 1 -1 19 black 1.5 NA NA 0.5
## 98 25.20 18.60 1 -1 19 black 1.5 NA NA 0.5
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## 101 5.16 14.04 1 -1 19 black 1.5 NA NA 0.5
## 102 43.56 28.56 1 -1 19 black 1.5 NA NA 0.5
## 103 12.12 17.76 1 -1 19 black 1.5 NA NA 0.5
## 104 20.64 17.64 1 -1 19 black 1.5 NA NA 0.5
## 105 41.16 24.84 1 -1 19 black 1.5 NA NA 0.5
## 106 55.68 23.04 1 -1 19 black 1.5 NA NA 0.5
## 107 13.20 8.64 1 -1 19 black 1.5 NA NA 0.5
## 108 0.36 10.44 1 -1 19 black 1.5 NA NA 0.5
## 109 0.48 6.36 1 -1 19 black 1.5 NA NA 0.5
## 110 32.28 23.76 1 -1 19 black 1.5 NA NA 0.5
## 111 9.84 16.08 1 -1 19 black 1.5 NA NA 0.5
## 112 45.60 26.16 1 -1 19 black 1.5 NA NA 0.5
## 113 18.48 16.92 1 -1 19 black 1.5 NA NA 0.5
## 114 24.72 19.08 1 -1 19 black 1.5 NA NA 0.5
## 115 56.16 17.52 1 -1 19 black 1.5 NA NA 0.5
## 116 42.00 15.12 1 -1 19 black 1.5 NA NA 0.5
## 117 17.16 14.64 1 -1 19 black 1.5 NA NA 0.5
## 118 0.96 11.28 1 -1 19 black 1.5 NA NA 0.5
## 119 44.28 19.08 1 -1 19 black 1.5 NA NA 0.5
## 120 19.20 7.92 1 -1 19 black 1.5 NA NA 0.5
## 121 32.16 18.60 1 -1 19 black 1.5 NA NA 0.5
## 122 26.04 8.40 1 -1 19 black 1.5 NA NA 0.5
## 123 2.88 13.92 1 -1 19 black 1.5 NA NA 0.5
## 124 41.52 18.24 1 -1 19 black 1.5 NA NA 0.5
## 125 38.76 23.64 1 -1 19 black 1.5 NA NA 0.5
## 126 14.16 12.72 1 -1 19 black 1.5 NA NA 0.5
## 127 46.68 7.92 1 -1 19 black 1.5 NA NA 0.5
## 128 0.00 10.56 1 -1 19 black 1.5 NA NA 0.5
## 129 58.80 29.64 1 -1 19 black 1.5 NA NA 0.5
## 130 14.40 11.64 1 -1 19 black 1.5 NA NA 0.5
## 131 47.52 1.92 1 -1 19 black 1.5 NA NA 0.5
## 132 3.48 15.24 1 -1 19 black 1.5 NA NA 0.5
## 133 32.64 6.84 1 -1 19 black 1.5 NA NA 0.5
## 134 40.20 23.52 1 -1 19 black 1.5 NA NA 0.5
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## 151 16.68 19.32 1 -1 19 black 1.5 NA NA 0.5
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## 153 27.96 19.92 1 -1 19 black 1.5 NA NA 0.5
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## 156 13.92 3.84 1 -1 19 black 1.5 NA NA 0.5
## 157 52.20 18.36 1 -1 19 black 1.5 NA NA 0.5
## 158 1.56 12.12 1 -1 19 black 1.5 NA NA 0.5
## 159 44.28 8.76 1 -1 19 black 1.5 NA NA 0.5
## 160 22.08 15.48 1 -1 19 black 1.5 NA NA 0.5
## 161 21.72 17.28 1 -1 19 black 1.5 NA NA 0.5
## 162 42.96 15.96 1 -1 19 black 1.5 NA NA 0.5
## 163 21.72 17.88 1 -1 19 black 1.5 NA NA 0.5
## 164 44.16 21.60 1 -1 19 black 1.5 NA NA 0.5
## 165 17.64 14.28 1 -1 19 black 1.5 NA NA 0.5
## 166 4.08 14.28 1 -1 19 black 1.5 NA NA 0.5
## 167 45.12 9.60 1 -1 19 black 1.5 NA NA 0.5
## 168 6.24 14.64 1 -1 19 black 1.5 NA NA 0.5
## 169 28.32 20.52 1 -1 19 black 1.5 NA NA 0.5
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## 171 13.92 10.08 1 -1 19 black 1.5 NA NA 0.5
## 172 25.08 17.40 1 -1 19 black 1.5 NA NA 0.5
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## 174 8.52 14.04 1 -1 19 black 1.5 NA NA 0.5
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## 178 9.36 14.04 1 -1 19 black 1.5 NA NA 0.5
## 179 2.76 14.16 1 -1 19 black 1.5 NA NA 0.5
## 180 12.00 15.12 1 -1 19 black 1.5 NA NA 0.5
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## 194 50.40 23.52 1 -1 19 black 1.5 NA NA 0.5
## 195 42.72 20.76 1 -1 19 black 1.5 NA NA 0.5
## 196 4.44 9.12 1 -1 19 black 1.5 NA NA 0.5
## 197 5.88 11.64 1 -1 19 black 1.5 NA NA 0.5
## 198 11.16 15.36 1 -1 19 black 1.5 NA NA 0.5
## 199 50.40 30.60 1 -1 19 black 1.5 NA NA 0.5
## 200 10.32 16.08 1 -1 19 black 1.5 NA NA 0.5
##
## $data[[2]]
## x y ymin ymax se flipped_aes PANEL group
## 1 0.0000000 11.20496 8.783130 13.62679 1.2279950 FALSE 1 -1
## 2 0.7534177 11.35960 9.147812 13.57138 1.1214898 FALSE 1 -1
## 3 1.5068354 11.51419 9.496288 13.53208 1.0231797 FALSE 1 -1
## 4 2.2602532 11.66849 9.826642 13.51034 0.9339125 FALSE 1 -1
## 5 3.0136709 11.82226 10.137099 13.50742 0.8544656 FALSE 1 -1
## 6 3.7670886 11.97526 10.426189 13.52433 0.7854608 FALSE 1 -1
## 7 4.5205063 12.12725 10.692958 13.56155 0.7272619 FALSE 1 -1
## 8 5.2739241 12.27858 10.937662 13.61950 0.6799168 FALSE 1 -1
## 9 6.0273418 12.42960 11.160885 13.69832 0.6433063 FALSE 1 -1
## 10 6.7807595 12.58033 11.363414 13.79726 0.6170424 FALSE 1 -1
## 11 7.5341772 12.73080 11.546745 13.91486 0.6003779 FALSE 1 -1
## 12 8.2875949 12.88102 11.713051 14.04899 0.5922220 FALSE 1 -1
## 13 9.0410127 13.03102 11.865006 14.19704 0.5912306 FALSE 1 -1
## 14 9.7944304 13.18082 12.005516 14.35613 0.5959411 FALSE 1 -1
## 15 10.5478481 13.33044 12.137456 14.52343 0.6049070 FALSE 1 -1
## 16 11.3012658 13.47991 12.263469 14.69635 0.6167995 FALSE 1 -1
## 17 12.0546835 13.62904 12.385753 14.87233 0.6304124 FALSE 1 -1
## 18 12.8081013 13.77315 12.503905 15.04240 0.6435753 FALSE 1 -1
## 19 13.5615190 13.91152 12.618875 15.20416 0.6554362 FALSE 1 -1
## 20 14.3149367 14.04578 12.732165 15.35940 0.6660737 FALSE 1 -1
## 21 15.0683544 14.17762 12.845068 15.51017 0.6756719 FALSE 1 -1
## 22 15.8217722 14.30867 12.958989 15.65835 0.6843587 FALSE 1 -1
## 23 16.5751899 14.44060 13.075634 15.80557 0.6921100 FALSE 1 -1
## 24 17.3286076 14.57507 13.197083 15.95305 0.6987105 FALSE 1 -1
## 25 18.0820253 14.71373 13.325775 16.10168 0.7037637 FALSE 1 -1
## 26 18.8354430 14.85823 13.464397 16.25207 0.7067481 FALSE 1 -1
## 27 19.5888608 15.01141 13.619544 16.40328 0.7057497 FALSE 1 -1
## 28 20.3422785 15.17669 13.800154 16.55323 0.6979760 FALSE 1 -1
## 29 21.0956962 15.35201 13.996695 16.70732 0.6872140 FALSE 1 -1
## 30 21.8491139 15.53496 14.198365 16.87155 0.6777220 FALSE 1 -1
## 31 22.6025316 15.72314 14.395807 17.05047 0.6730260 FALSE 1 -1
## 32 23.3559494 15.91415 14.582665 17.24563 0.6751309 FALSE 1 -1
## 33 24.1093671 16.10558 14.756590 17.45457 0.6840090 FALSE 1 -1
## 34 24.8627848 16.29504 14.919240 17.67083 0.6976007 FALSE 1 -1
## 35 25.6162025 16.48011 15.075299 17.88492 0.7123128 FALSE 1 -1
## 36 26.3696203 16.65840 15.231001 18.08580 0.7237657 FALSE 1 -1
## 37 27.1230380 16.82750 15.392628 18.26237 0.7275540 FALSE 1 -1
## 38 27.8764557 16.98578 15.561522 18.41005 0.7221752 FALSE 1 -1
## 39 28.6298734 17.13439 15.731707 18.53707 0.7112323 FALSE 1 -1
## 40 29.3832911 17.27499 15.896351 18.65363 0.6990421 FALSE 1 -1
## 41 30.1367089 17.40928 16.049493 18.76906 0.6894808 FALSE 1 -1
## 42 30.8901266 17.53893 16.187515 18.89034 0.6852356 FALSE 1 -1
## 43 31.6435443 17.66562 16.310334 19.02091 0.6872029 FALSE 1 -1
## 44 32.3969620 17.79105 16.421812 19.16029 0.6942765 FALSE 1 -1
## 45 33.1503797 17.91689 16.529182 19.30461 0.7036422 FALSE 1 -1
## 46 33.9037975 18.04483 16.641722 19.44794 0.7114495 FALSE 1 -1
## 47 34.6572152 18.17644 16.768985 19.58390 0.7136553 FALSE 1 -1
## 48 35.4106329 18.30587 16.905964 19.70577 0.7098236 FALSE 1 -1
## 49 36.1640506 18.43003 17.044976 19.81509 0.7022961 FALSE 1 -1
## 50 36.9174684 18.55054 17.184216 19.91686 0.6927959 FALSE 1 -1
## 51 37.6708861 18.66897 17.322072 20.01586 0.6829458 FALSE 1 -1
## 52 38.4243038 18.78691 17.457501 20.11633 0.6740822 FALSE 1 -1
## 53 39.1777215 18.90597 17.590341 20.22160 0.6670924 FALSE 1 -1
## 54 39.9311392 19.02772 17.721547 20.33390 0.6623000 FALSE 1 -1
## 55 40.6845570 19.15377 17.853249 20.45428 0.6594304 FALSE 1 -1
## 56 41.4379747 19.28569 17.988639 20.58274 0.6576726 FALSE 1 -1
## 57 42.1913924 19.42508 18.131663 20.71850 0.6558316 FALSE 1 -1
## 58 42.9448101 19.57354 18.286585 20.86049 0.6525515 FALSE 1 -1
## 59 43.6982278 19.73264 18.457440 21.00784 0.6465937 FALSE 1 -1
## 60 44.4516456 19.89958 18.640058 21.15911 0.6386447 FALSE 1 -1
## 61 45.2050633 20.06812 18.823277 21.31297 0.6312016 FALSE 1 -1
## 62 45.9584810 20.23877 19.006639 21.47091 0.6247559 FALSE 1 -1
## 63 46.7118987 20.41215 19.189718 21.63458 0.6198373 FALSE 1 -1
## 64 47.4653165 20.58887 19.371933 21.80581 0.6170519 FALSE 1 -1
## 65 48.2187342 20.76956 19.552550 21.98656 0.6170861 FALSE 1 -1
## 66 48.9721519 20.95482 19.730669 22.17897 0.6207077 FALSE 1 -1
## 67 49.7255696 21.14527 19.905242 22.38531 0.6287615 FALSE 1 -1
## 68 50.4789873 21.34154 20.075093 22.60799 0.6421562 FALSE 1 -1
## 69 51.2324051 21.54398 20.238622 22.84934 0.6618861 FALSE 1 -1
## 70 51.9858228 21.75192 20.393089 23.11074 0.6889960 FALSE 1 -1
## 71 52.7392405 21.96513 20.536993 23.39326 0.7241388 FALSE 1 -1
## 72 53.4926582 22.18348 20.669447 23.69751 0.7676920 FALSE 1 -1
## 73 54.2460759 22.40682 20.790051 24.02359 0.8197865 FALSE 1 -1
## 74 54.9994937 22.63502 20.898808 24.37123 0.8803496 FALSE 1 -1
## 75 55.7529114 22.86793 20.996008 24.73985 0.9491616 FALSE 1 -1
## 76 56.5063291 23.10541 21.082121 25.12870 1.0259126 FALSE 1 -1
## 77 57.2597468 23.34732 21.157705 25.53693 1.1102487 FALSE 1 -1
## 78 58.0131646 23.59352 21.223336 25.96370 1.2018048 FALSE 1 -1
## 79 58.7665823 23.84386 21.279574 26.40814 1.3002263 FALSE 1 -1
## 80 59.5200000 24.09821 21.326933 26.86948 1.4051800 FALSE 1 -1
## colour fill linewidth linetype weight alpha
## 1 #3366FF grey60 1 1 1 0.4
## 2 #3366FF grey60 1 1 1 0.4
## 3 #3366FF grey60 1 1 1 0.4
## 4 #3366FF grey60 1 1 1 0.4
## 5 #3366FF grey60 1 1 1 0.4
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## 24 #3366FF grey60 1 1 1 0.4
## 25 #3366FF grey60 1 1 1 0.4
## 26 #3366FF grey60 1 1 1 0.4
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## 80 #3366FF grey60 1 1 1 0.4
##
##
## $layout
## <ggproto object: Class Layout, gg>
## coord: <ggproto object: Class CoordCartesian, Coord, gg>
## aspect: function
## backtransform_range: function
## clip: on
## default: TRUE
## distance: function
## expand: TRUE
## is_free: function
## is_linear: function
## labels: function
## limits: list
## modify_scales: function
## range: function
## render_axis_h: function
## render_axis_v: function
## render_bg: function
## render_fg: function
## setup_data: function
## setup_layout: function
## setup_panel_guides: function
## setup_panel_params: function
## setup_params: function
## train_panel_guides: function
## transform: function
## super: <ggproto object: Class CoordCartesian, Coord, gg>
## coord_params: list
## facet: <ggproto object: Class FacetNull, Facet, gg>
## compute_layout: function
## draw_back: function
## draw_front: function
## draw_labels: function
## draw_panels: function
## finish_data: function
## init_scales: function
## map_data: function
## params: list
## setup_data: function
## setup_params: function
## shrink: TRUE
## train_scales: function
## vars: function
## super: <ggproto object: Class FacetNull, Facet, gg>
## facet_params: list
## finish_data: function
## get_scales: function
## layout: data.frame
## map_position: function
## panel_params: list
## panel_scales_x: list
## panel_scales_y: list
## render: function
## render_labels: function
## reset_scales: function
## resolve_label: function
## setup: function
## setup_panel_guides: function
## setup_panel_params: function
## train_position: function
## super: <ggproto object: Class Layout, gg>
##
## $plot## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
##
## attr(,"class")
## [1] "ggplot_built"cor(marketing$facebook,marketing$sales)## [1] 0.5762226g4=ggplot(data=marketing,mapping= aes(x=youtube,y=sales))+geom_point()+theme_bw()+geom_smooth()
ggplot_build(g4)## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'## $data
## $data[[1]]
## x y PANEL group shape colour size fill alpha stroke
## 1 276.12 26.52 1 -1 19 black 1.5 NA NA 0.5
## 2 53.40 12.48 1 -1 19 black 1.5 NA NA 0.5
## 3 20.64 11.16 1 -1 19 black 1.5 NA NA 0.5
## 4 181.80 22.20 1 -1 19 black 1.5 NA NA 0.5
## 5 216.96 15.48 1 -1 19 black 1.5 NA NA 0.5
## 6 10.44 8.64 1 -1 19 black 1.5 NA NA 0.5
## 7 69.00 14.16 1 -1 19 black 1.5 NA NA 0.5
## 8 144.24 15.84 1 -1 19 black 1.5 NA NA 0.5
## 9 10.32 5.76 1 -1 19 black 1.5 NA NA 0.5
## 10 239.76 12.72 1 -1 19 black 1.5 NA NA 0.5
## 11 79.32 10.32 1 -1 19 black 1.5 NA NA 0.5
## 12 257.64 20.88 1 -1 19 black 1.5 NA NA 0.5
## 13 28.56 11.04 1 -1 19 black 1.5 NA NA 0.5
## 14 117.00 11.64 1 -1 19 black 1.5 NA NA 0.5
## 15 244.92 22.80 1 -1 19 black 1.5 NA NA 0.5
## 16 234.48 26.88 1 -1 19 black 1.5 NA NA 0.5
## 17 81.36 15.00 1 -1 19 black 1.5 NA NA 0.5
## 18 337.68 29.28 1 -1 19 black 1.5 NA NA 0.5
## 19 83.04 13.56 1 -1 19 black 1.5 NA NA 0.5
## 20 176.76 17.52 1 -1 19 black 1.5 NA NA 0.5
## 21 262.08 21.60 1 -1 19 black 1.5 NA NA 0.5
## 22 284.88 15.00 1 -1 19 black 1.5 NA NA 0.5
## 23 15.84 6.72 1 -1 19 black 1.5 NA NA 0.5
## 24 273.96 18.60 1 -1 19 black 1.5 NA NA 0.5
## 25 74.76 11.64 1 -1 19 black 1.5 NA NA 0.5
## 26 315.48 14.40 1 -1 19 black 1.5 NA NA 0.5
## 27 171.48 18.00 1 -1 19 black 1.5 NA NA 0.5
## 28 288.12 19.08 1 -1 19 black 1.5 NA NA 0.5
## 29 298.56 22.68 1 -1 19 black 1.5 NA NA 0.5
## 30 84.72 12.60 1 -1 19 black 1.5 NA NA 0.5
## 31 351.48 25.68 1 -1 19 black 1.5 NA NA 0.5
## 32 135.48 14.28 1 -1 19 black 1.5 NA NA 0.5
## 33 116.64 11.52 1 -1 19 black 1.5 NA NA 0.5
## 34 318.72 20.88 1 -1 19 black 1.5 NA NA 0.5
## 35 114.84 11.40 1 -1 19 black 1.5 NA NA 0.5
## 36 348.84 15.36 1 -1 19 black 1.5 NA NA 0.5
## 37 320.28 30.48 1 -1 19 black 1.5 NA NA 0.5
## 38 89.64 17.64 1 -1 19 black 1.5 NA NA 0.5
## 39 51.72 12.12 1 -1 19 black 1.5 NA NA 0.5
## 40 273.60 25.80 1 -1 19 black 1.5 NA NA 0.5
## 41 243.00 19.92 1 -1 19 black 1.5 NA NA 0.5
## 42 212.40 20.52 1 -1 19 black 1.5 NA NA 0.5
## 43 352.32 24.84 1 -1 19 black 1.5 NA NA 0.5
## 44 248.28 15.48 1 -1 19 black 1.5 NA NA 0.5
## 45 30.12 10.20 1 -1 19 black 1.5 NA NA 0.5
## 46 210.12 17.88 1 -1 19 black 1.5 NA NA 0.5
## 47 107.64 12.72 1 -1 19 black 1.5 NA NA 0.5
## 48 287.88 27.84 1 -1 19 black 1.5 NA NA 0.5
## 49 272.64 17.76 1 -1 19 black 1.5 NA NA 0.5
## 50 80.28 11.64 1 -1 19 black 1.5 NA NA 0.5
## 51 239.76 13.68 1 -1 19 black 1.5 NA NA 0.5
## 52 120.48 12.84 1 -1 19 black 1.5 NA NA 0.5
## 53 259.68 27.12 1 -1 19 black 1.5 NA NA 0.5
## 54 219.12 25.44 1 -1 19 black 1.5 NA NA 0.5
## 55 315.24 24.24 1 -1 19 black 1.5 NA NA 0.5
## 56 238.68 28.44 1 -1 19 black 1.5 NA NA 0.5
## 57 8.76 6.60 1 -1 19 black 1.5 NA NA 0.5
## 58 163.44 15.84 1 -1 19 black 1.5 NA NA 0.5
## 59 252.96 28.56 1 -1 19 black 1.5 NA NA 0.5
## 60 252.84 22.08 1 -1 19 black 1.5 NA NA 0.5
## 61 64.20 9.72 1 -1 19 black 1.5 NA NA 0.5
## 62 313.56 29.04 1 -1 19 black 1.5 NA NA 0.5
## 63 287.16 18.84 1 -1 19 black 1.5 NA NA 0.5
## 64 123.24 16.80 1 -1 19 black 1.5 NA NA 0.5
## 65 157.32 21.60 1 -1 19 black 1.5 NA NA 0.5
## 66 82.80 11.16 1 -1 19 black 1.5 NA NA 0.5
## 67 37.80 11.40 1 -1 19 black 1.5 NA NA 0.5
## 68 167.16 16.08 1 -1 19 black 1.5 NA NA 0.5
## 69 284.88 22.68 1 -1 19 black 1.5 NA NA 0.5
## 70 260.16 26.76 1 -1 19 black 1.5 NA NA 0.5
## 71 238.92 21.96 1 -1 19 black 1.5 NA NA 0.5
## 72 131.76 14.88 1 -1 19 black 1.5 NA NA 0.5
## 73 32.16 10.56 1 -1 19 black 1.5 NA NA 0.5
## 74 155.28 13.20 1 -1 19 black 1.5 NA NA 0.5
## 75 256.08 20.40 1 -1 19 black 1.5 NA NA 0.5
## 76 20.28 10.44 1 -1 19 black 1.5 NA NA 0.5
## 77 33.00 8.28 1 -1 19 black 1.5 NA NA 0.5
## 78 144.60 17.04 1 -1 19 black 1.5 NA NA 0.5
## 79 6.48 6.36 1 -1 19 black 1.5 NA NA 0.5
## 80 139.20 13.20 1 -1 19 black 1.5 NA NA 0.5
## 81 91.68 14.16 1 -1 19 black 1.5 NA NA 0.5
## 82 287.76 14.76 1 -1 19 black 1.5 NA NA 0.5
## 83 90.36 13.56 1 -1 19 black 1.5 NA NA 0.5
## 84 82.08 16.32 1 -1 19 black 1.5 NA NA 0.5
## 85 256.20 26.04 1 -1 19 black 1.5 NA NA 0.5
## 86 231.84 18.24 1 -1 19 black 1.5 NA NA 0.5
## 87 91.56 14.40 1 -1 19 black 1.5 NA NA 0.5
## 88 132.84 19.20 1 -1 19 black 1.5 NA NA 0.5
## 89 105.96 15.48 1 -1 19 black 1.5 NA NA 0.5
## 90 131.76 20.04 1 -1 19 black 1.5 NA NA 0.5
## 91 161.16 13.44 1 -1 19 black 1.5 NA NA 0.5
## 92 34.32 8.76 1 -1 19 black 1.5 NA NA 0.5
## 93 261.24 23.28 1 -1 19 black 1.5 NA NA 0.5
## 94 301.08 26.64 1 -1 19 black 1.5 NA NA 0.5
## 95 128.88 13.80 1 -1 19 black 1.5 NA NA 0.5
## 96 195.96 20.28 1 -1 19 black 1.5 NA NA 0.5
## 97 237.12 14.04 1 -1 19 black 1.5 NA NA 0.5
## 98 221.88 18.60 1 -1 19 black 1.5 NA NA 0.5
## 99 347.64 30.48 1 -1 19 black 1.5 NA NA 0.5
## 100 162.24 20.64 1 -1 19 black 1.5 NA NA 0.5
## 101 266.88 14.04 1 -1 19 black 1.5 NA NA 0.5
## 102 355.68 28.56 1 -1 19 black 1.5 NA NA 0.5
## 103 336.24 17.76 1 -1 19 black 1.5 NA NA 0.5
## 104 225.48 17.64 1 -1 19 black 1.5 NA NA 0.5
## 105 285.84 24.84 1 -1 19 black 1.5 NA NA 0.5
## 106 165.48 23.04 1 -1 19 black 1.5 NA NA 0.5
## 107 30.00 8.64 1 -1 19 black 1.5 NA NA 0.5
## 108 108.48 10.44 1 -1 19 black 1.5 NA NA 0.5
## 109 15.72 6.36 1 -1 19 black 1.5 NA NA 0.5
## 110 306.48 23.76 1 -1 19 black 1.5 NA NA 0.5
## 111 270.96 16.08 1 -1 19 black 1.5 NA NA 0.5
## 112 290.04 26.16 1 -1 19 black 1.5 NA NA 0.5
## 113 210.84 16.92 1 -1 19 black 1.5 NA NA 0.5
## 114 251.52 19.08 1 -1 19 black 1.5 NA NA 0.5
## 115 93.84 17.52 1 -1 19 black 1.5 NA NA 0.5
## 116 90.12 15.12 1 -1 19 black 1.5 NA NA 0.5
## 117 167.04 14.64 1 -1 19 black 1.5 NA NA 0.5
## 118 91.68 11.28 1 -1 19 black 1.5 NA NA 0.5
## 119 150.84 19.08 1 -1 19 black 1.5 NA NA 0.5
## 120 23.28 7.92 1 -1 19 black 1.5 NA NA 0.5
## 121 169.56 18.60 1 -1 19 black 1.5 NA NA 0.5
## 122 22.56 8.40 1 -1 19 black 1.5 NA NA 0.5
## 123 268.80 13.92 1 -1 19 black 1.5 NA NA 0.5
## 124 147.72 18.24 1 -1 19 black 1.5 NA NA 0.5
## 125 275.40 23.64 1 -1 19 black 1.5 NA NA 0.5
## 126 104.64 12.72 1 -1 19 black 1.5 NA NA 0.5
## 127 9.36 7.92 1 -1 19 black 1.5 NA NA 0.5
## 128 96.24 10.56 1 -1 19 black 1.5 NA NA 0.5
## 129 264.36 29.64 1 -1 19 black 1.5 NA NA 0.5
## 130 71.52 11.64 1 -1 19 black 1.5 NA NA 0.5
## 131 0.84 1.92 1 -1 19 black 1.5 NA NA 0.5
## 132 318.24 15.24 1 -1 19 black 1.5 NA NA 0.5
## 133 10.08 6.84 1 -1 19 black 1.5 NA NA 0.5
## 134 263.76 23.52 1 -1 19 black 1.5 NA NA 0.5
## 135 44.28 12.96 1 -1 19 black 1.5 NA NA 0.5
## 136 57.96 13.92 1 -1 19 black 1.5 NA NA 0.5
## 137 30.72 11.40 1 -1 19 black 1.5 NA NA 0.5
## 138 328.44 24.96 1 -1 19 black 1.5 NA NA 0.5
## 139 51.60 11.52 1 -1 19 black 1.5 NA NA 0.5
## 140 221.88 24.84 1 -1 19 black 1.5 NA NA 0.5
## 141 88.08 13.08 1 -1 19 black 1.5 NA NA 0.5
## 142 232.44 23.04 1 -1 19 black 1.5 NA NA 0.5
## 143 264.60 24.12 1 -1 19 black 1.5 NA NA 0.5
## 144 125.52 12.48 1 -1 19 black 1.5 NA NA 0.5
## 145 115.44 13.68 1 -1 19 black 1.5 NA NA 0.5
## 146 168.36 12.36 1 -1 19 black 1.5 NA NA 0.5
## 147 288.12 15.84 1 -1 19 black 1.5 NA NA 0.5
## 148 291.84 30.48 1 -1 19 black 1.5 NA NA 0.5
## 149 45.60 13.08 1 -1 19 black 1.5 NA NA 0.5
## 150 53.64 12.12 1 -1 19 black 1.5 NA NA 0.5
## 151 336.84 19.32 1 -1 19 black 1.5 NA NA 0.5
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## 153 237.12 19.92 1 -1 19 black 1.5 NA NA 0.5
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##
## $data[[2]]
## x y ymin ymax se flipped_aes PANEL group
## 1 0.840000 6.620776 4.667221 8.574332 0.9905513 FALSE 1 -1
## 2 5.331646 7.037509 5.245916 8.829103 0.9084282 FALSE 1 -1
## 3 9.823291 7.447221 5.805748 9.088694 0.8323096 FALSE 1 -1
## 4 14.314937 7.849194 6.344983 9.353406 0.7627109 FALSE 1 -1
## 5 18.806582 8.242712 6.861934 9.623490 0.7001239 FALSE 1 -1
## 6 23.298228 8.627056 7.355045 9.899068 0.6449739 FALSE 1 -1
## 7 27.789873 9.001510 7.823009 10.180012 0.5975597 FALSE 1 -1
## 8 32.281519 9.365356 8.264905 10.465808 0.5579842 FALSE 1 -1
## 9 36.773165 9.718413 8.680825 10.756001 0.5261094 FALSE 1 -1
## 10 41.264810 10.061578 9.072304 11.050851 0.5016116 FALSE 1 -1
## 11 45.756456 10.395307 9.440797 11.349817 0.4839849 FALSE 1 -1
## 12 50.248101 10.720042 9.788094 11.651990 0.4725446 FALSE 1 -1
## 13 54.739747 11.036224 10.116272 11.956176 0.4664619 FALSE 1 -1
## 14 59.231392 11.344294 10.427573 12.261016 0.4648241 FALSE 1 -1
## 15 63.723038 11.644694 10.724266 12.565122 0.4667035 FALSE 1 -1
## 16 68.214684 11.937864 11.008536 12.867193 0.4712162 FALSE 1 -1
## 17 72.706329 12.224247 11.282401 13.166093 0.4775633 FALSE 1 -1
## 18 77.197975 12.504283 11.547671 13.460895 0.4850507 FALSE 1 -1
## 19 81.689620 12.778413 11.805940 13.750887 0.4930931 FALSE 1 -1
## 20 86.181266 13.047080 12.058601 14.035558 0.5012085 FALSE 1 -1
## 21 90.672911 13.307313 12.304278 14.310349 0.5085897 FALSE 1 -1
## 22 95.164557 13.545874 12.533065 14.558683 0.5135452 FALSE 1 -1
## 23 99.656203 13.764991 12.745443 14.784539 0.5169625 FALSE 1 -1
## 24 104.147848 13.968831 12.943013 14.994648 0.5201410 FALSE 1 -1
## 25 108.639494 14.161561 13.127847 15.195275 0.5241452 FALSE 1 -1
## 26 113.131139 14.347350 13.303034 15.391665 0.5295205 FALSE 1 -1
## 27 117.622785 14.530364 13.472986 15.587742 0.5361441 FALSE 1 -1
## 28 122.114430 14.714772 13.643435 15.786109 0.5432218 FALSE 1 -1
## 29 126.606076 14.904741 13.821183 15.988299 0.5494185 FALSE 1 -1
## 30 131.097722 15.104438 14.013657 16.195219 0.5530811 FALSE 1 -1
## 31 135.589367 15.314144 14.226049 16.402238 0.5517189 FALSE 1 -1
## 32 140.081013 15.528386 14.453438 16.603335 0.5450531 FALSE 1 -1
## 33 144.572658 15.746087 14.688229 16.803946 0.5363876 FALSE 1 -1
## 34 149.064304 15.966267 14.922998 17.009536 0.5289899 FALSE 1 -1
## 35 153.555949 16.187944 15.151633 17.224255 0.5254621 FALSE 1 -1
## 36 158.047595 16.410138 15.370433 17.449843 0.5271829 FALSE 1 -1
## 37 162.539241 16.631869 15.578775 17.684964 0.5339719 FALSE 1 -1
## 38 167.030886 16.852156 15.779014 17.925299 0.5441373 FALSE 1 -1
## 39 171.522532 17.070019 15.975693 18.164345 0.5548784 FALSE 1 -1
## 40 176.014177 17.284477 16.174431 18.394523 0.5628492 FALSE 1 -1
## 41 180.505823 17.494647 16.380928 18.608365 0.5647114 FALSE 1 -1
## 42 184.997468 17.703106 16.601321 18.804892 0.5586608 FALSE 1 -1
## 43 189.489114 17.911078 16.833108 18.989047 0.5465849 FALSE 1 -1
## 44 193.980759 18.118141 17.070412 19.165871 0.5312515 FALSE 1 -1
## 45 198.472405 18.323877 17.307238 19.340516 0.5154873 FALSE 1 -1
## 46 202.964051 18.527864 17.538124 19.517604 0.5018481 FALSE 1 -1
## 47 207.455696 18.729683 17.758912 19.700454 0.4922298 FALSE 1 -1
## 48 211.947342 18.928915 17.967476 19.890353 0.4874977 FALSE 1 -1
## 49 216.438987 19.125138 18.164121 20.086155 0.4872841 FALSE 1 -1
## 50 220.930633 19.317933 18.351423 20.284442 0.4900691 FALSE 1 -1
## 51 225.422278 19.506880 18.533555 20.480205 0.4935248 FALSE 1 -1
## 52 229.913924 19.691558 18.715342 20.667775 0.4949912 FALSE 1 -1
## 53 234.405570 19.870785 18.899667 20.841904 0.4924062 FALSE 1 -1
## 54 238.897215 20.042004 19.080934 21.003074 0.4873109 FALSE 1 -1
## 55 243.388861 20.207551 19.257543 21.157558 0.4817018 FALSE 1 -1
## 56 247.880506 20.370291 19.429776 21.310806 0.4768885 FALSE 1 -1
## 57 252.372152 20.533093 19.599751 21.466434 0.4732511 FALSE 1 -1
## 58 256.863797 20.698822 19.771499 21.626144 0.4701993 FALSE 1 -1
## 59 261.355443 20.870345 19.950305 21.790385 0.4665068 FALSE 1 -1
## 60 265.847089 21.046803 20.136044 21.957561 0.4618005 FALSE 1 -1
## 61 270.338734 21.222277 20.320023 22.124531 0.4574884 FALSE 1 -1
## 62 274.830380 21.396882 20.501528 22.292235 0.4539895 FALSE 1 -1
## 63 279.322025 21.570915 20.679996 22.461835 0.4517411 FALSE 1 -1
## 64 283.813671 21.744676 20.854742 22.634611 0.4512418 FALSE 1 -1
## 65 288.305316 21.918463 21.024946 22.811980 0.4530582 FALSE 1 -1
## 66 292.796962 22.092574 21.189641 22.995507 0.4578326 FALSE 1 -1
## 67 297.288608 22.267307 21.347706 23.186908 0.4662842 FALSE 1 -1
## 68 301.780253 22.442758 21.497495 23.388022 0.4792963 FALSE 1 -1
## 69 306.271899 22.618654 21.636886 23.600422 0.4978060 FALSE 1 -1
## 70 310.763544 22.794951 21.764657 23.825246 0.5224113 FALSE 1 -1
## 71 315.255190 22.971614 21.879991 24.063236 0.5535074 FALSE 1 -1
## 72 319.746835 23.148605 21.982471 24.314740 0.5912888 FALSE 1 -1
## 73 324.238481 23.325891 22.072020 24.579763 0.6357760 FALSE 1 -1
## 74 328.730127 23.503435 22.148817 24.858053 0.6868597 FALSE 1 -1
## 75 333.221772 23.681200 22.213206 25.149194 0.7443471 FALSE 1 -1
## 76 337.713418 23.859152 22.265617 25.452687 0.8080025 FALSE 1 -1
## 77 342.205063 24.037254 22.306506 25.768002 0.8775764 FALSE 1 -1
## 78 346.696709 24.215470 22.336319 26.094622 0.9528245 FALSE 1 -1
## 79 351.188354 24.393765 22.355469 26.432062 1.0335190 FALSE 1 -1
## 80 355.680000 24.572103 22.364330 26.779877 1.1194526 FALSE 1 -1
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##
##
## $layout
## <ggproto object: Class Layout, gg>
## coord: <ggproto object: Class CoordCartesian, Coord, gg>
## aspect: function
## backtransform_range: function
## clip: on
## default: TRUE
## distance: function
## expand: TRUE
## is_free: function
## is_linear: function
## labels: function
## limits: list
## modify_scales: function
## range: function
## render_axis_h: function
## render_axis_v: function
## render_bg: function
## render_fg: function
## setup_data: function
## setup_layout: function
## setup_panel_guides: function
## setup_panel_params: function
## setup_params: function
## train_panel_guides: function
## transform: function
## super: <ggproto object: Class CoordCartesian, Coord, gg>
## coord_params: list
## facet: <ggproto object: Class FacetNull, Facet, gg>
## compute_layout: function
## draw_back: function
## draw_front: function
## draw_labels: function
## draw_panels: function
## finish_data: function
## init_scales: function
## map_data: function
## params: list
## setup_data: function
## setup_params: function
## shrink: TRUE
## train_scales: function
## vars: function
## super: <ggproto object: Class FacetNull, Facet, gg>
## facet_params: list
## finish_data: function
## get_scales: function
## layout: data.frame
## map_position: function
## panel_params: list
## panel_scales_x: list
## panel_scales_y: list
## render: function
## render_labels: function
## reset_scales: function
## resolve_label: function
## setup: function
## setup_panel_guides: function
## setup_panel_params: function
## train_position: function
## super: <ggproto object: Class Layout, gg>
##
## $plot## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
##
## attr(,"class")
## [1] "ggplot_built"cor(marketing$youtube,marketing$sales)## [1] 0.7822244mod_you=lm(sales~youtube,data=marketing)
mod_you##
## Call:
## lm(formula = sales ~ youtube, data = marketing)
##
## Coefficients:
## (Intercept) youtube
## 8.43911 0.04754Interpretacion:
B0= Intercepto: 8,43 : en promedio, las ventas seran 8,42USD si no hay inversion publicitaria youtube
B1= Pendiente: 0.04 : por un dolar adicional invertido en pubicidad youtube , las ventas aumentan 0.04 millon USD
summary(mod_you)##
## Call:
## lm(formula = sales ~ youtube, data = marketing)
##
## Residuals:
## Min 1Q Median 3Q Max
## -10.0632 -2.3454 -0.2295 2.4805 8.6548
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.439112 0.549412 15.36 <2e-16 ***
## youtube 0.047537 0.002691 17.67 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.91 on 198 degrees of freedom
## Multiple R-squared: 0.6119, Adjusted R-squared: 0.6099
## F-statistic: 312.1 on 1 and 198 DF, p-value: < 2.2e-16predict(mod_you,list(youtube=65),interval="confidence",level=0.95)## fit lwr upr
## 1 11.52899 10.72462 12.33337id_modelar=sample(1:200,size=160)
marketing_modelar=marketing[id_modelar,]
marketing_validar=marketing[-id_modelar,]
mod_you_modelar=lm(sales~youtube,data=marketing_modelar)
sales_pred=predict(mod_you_modelar,list(youtube=marketing_validar$youtube))
sales_real=marketing_validar$sales
error=sales_real-sales_pred
res=data.frame(sales_real,sales_pred,error)
MAE=mean(abs(error))
MAE## [1] 2.987902