如何解决R：串扰+绘图：热图未显示在filter_select输入中 运行代码以生成热图：我在下面提供了数据框的一小部分样本
我正在尝试使用crosstalk::filter_select()进行的选择输入来制作交互式图形。但是，当我选择一个组时，热图似乎是空的，我不确定为什么。我加入了代码来生成热图，在下面加入了一些图像来更好地说明问题，还包括了数据来再现结果。 / p>
运行代码以生成热图：
library(tidyverse)
library(crosstalk)
library(plotly)
# The data frame 'df' can be retrieved from the code below,if needed
interactive <- SharedData$new(df,~comb_name,group = "Combination")
g <- interactive %>%
ggplot(aes(x = day,y = hour,fill = diff)) +
geom_tile(colour = "white",size = 0.1) +
scale_fill_viridis(name= "Temperature",option = "B") +
facet_wrap(~ month_abb) +
scale_x_continuous(breaks =c(1,10,20,31)) +
scale_y_continuous(breaks = 0:23) +
theme_minimal() +
theme(legend.position = "bottom")
filter <- bscols(
filter_select(id = "id",label = "Select Sites",sharedData = interactive,group = ~comb_name,multiple = FALSE),ggplotly(g,tooltip = c("text"),dynamicTicks = TRUE) %>%
config(displayModeBar = F),widths = c(10,10)
)
bscols(filter)
默认图片显示了所有组的热图：
在选择输入中选择一个组时，它将显示一个空的热图
我在下面提供了数据框的一小部分样本。
structure(list(date = structure(c(18231,18231,18262,18293,18322,18353,18414,18444,18475,18506,18383,18383),class = "Date"),hour = c(1L,1L,2L,3L,3L
),comb_name = structure(c(1L,4L,5L,6L,7L,8L,9L,10L,9L),.Label = c("arc1045 - arc1046","arc1045 - arc1047","arc1045 - arc1048","arc1045 - arc1050","arc1046 - arc1047","arc1046 - arc1048","arc1046 - arc1050","arc1047 - arc1048","arc1047 - arc1050","arc1048 - arc1050"),class = "factor"),diff = c(1.58,1.79,1.8,1.78,0.2,0.21,0.01,-0.01,1.03,1.21,1.28,1.29,0.18,0.25,0.26,0.07,0.08,0.84,1.02,0.99,0.15,-0.02,-0.03,1.48,1.69,1.5,1.32,0.22,0.03,-0.15,-0.19,-0.37,-0.18,1.17,0.98,0.33,-0.33,-0.52,1.01,1.25,1,0.85,0.24,-0.16,-0.26,-0.4,-0.14,0.65,0.73,0.67,0.54,0.56,-0.11,0.82,0.62,0.59,-0.2,-0.24,-0.04,1.31,1.35,1.24,0.94,0.04,-0.07,-0.41,-0.3,1.54,1.52,1.42,-0.12,1.55,1.44,-0.05,-0.23,1.45,1.67,-0.28,-0.49,-0.35,1.36,1.19,-0.1,-0.44,-0.17,-0.51,-0.34,1.41,1.7,1.18,0.97,0.29,-0.73,-0.21,0.09,0.17,0.12,0.13,0.1,0.16,0.23,0.19,0.71,1.06,0.58,-0.48,0.06,0.76,0.39,0.7,0.34,0.64,-0.38,0.49,0.44,0.6,0.27,0.11,0.32,1.1,0.69,-0.31,0.63,0.48,0.75,0.81,0.95,0.87,1.16,0.14,0.02,-0.03),day = c(1L,1L),month_abb = structure(c(12L,12L,5L),.Label = c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"),class = c("ordered","factor"))),row.names = c(NA,-237L),class = c("tbl_df","tbl","data.frame"))
#> date hour comb_name diff day month_abb
#> 1 2019-12-01 1 arc1045 - arc1046 1.58 1 Dec
#> 2 2019-12-01 1 arc1045 - arc1047 1.79 1 Dec
#> 3 2019-12-01 1 arc1045 - arc1048 1.80 1 Dec
#> 4 2019-12-01 1 arc1045 - arc1050 1.78 1 Dec
#> 5 2019-12-01 1 arc1046 - arc1047 0.20 1 Dec
#> 6 2019-12-01 1 arc1046 - arc1048 0.21 1 Dec
#> 7 2019-12-01 1 arc1046 - arc1050 0.20 1 Dec
#> 8 2019-12-01 1 arc1047 - arc1048 0.01 1 Dec
#> 9 2019-12-01 1 arc1047 - arc1050 0.00 1 Dec
#> 10 2019-12-01 1 arc1048 - arc1050 -0.01 1 Dec
#> 11 2019-12-01 2 arc1045 - arc1046 1.03 1 Dec
#> 12 2019-12-01 2 arc1045 - arc1047 1.21 1 Dec
#> 13 2019-12-01 2 arc1045 - arc1048 1.28 1 Dec
#> 14 2019-12-01 2 arc1045 - arc1050 1.29 1 Dec
#> 15 2019-12-01 2 arc1046 - arc1047 0.18 1 Dec
#> 16 2019-12-01 2 arc1046 - arc1048 0.25 1 Dec
#> 17 2019-12-01 2 arc1046 - arc1050 0.26 1 Dec
#> 18 2019-12-01 2 arc1047 - arc1048 0.07 1 Dec
#> 19 2019-12-01 2 arc1047 - arc1050 0.08 1 Dec
#> 20 2019-12-01 2 arc1048 - arc1050 0.01 1 Dec
#> 21 2019-12-01 3 arc1045 - arc1046 0.84 1 Dec
#> 22 2019-12-01 3 arc1045 - arc1047 1.02 1 Dec
#> 23 2019-12-01 3 arc1045 - arc1048 0.99 1 Dec
#> 24 2019-12-01 3 arc1045 - arc1050 0.99 1 Dec
#> 25 2019-12-01 3 arc1046 - arc1047 0.18 1 Dec
#> 26 2019-12-01 3 arc1046 - arc1048 0.15 1 Dec
#> 27 2019-12-01 3 arc1046 - arc1050 0.15 1 Dec
#> 28 2019-12-01 3 arc1047 - arc1048 -0.02 1 Dec
#> 29 2019-12-01 3 arc1047 - arc1050 -0.03 1 Dec
#> 30 2019-12-01 3 arc1048 - arc1050 0.00 1 Dec
#> 31 2020-01-01 1 arc1045 - arc1046 1.48 1 Jan
#> 32 2020-01-01 1 arc1045 - arc1047 1.69 1 Jan
#> 33 2020-01-01 1 arc1045 - arc1048 1.50 1 Jan
#> 34 2020-01-01 1 arc1045 - arc1050 1.32 1 Jan
#> 35 2020-01-01 1 arc1046 - arc1047 0.22 1 Jan
#> 36 2020-01-01 1 arc1046 - arc1048 0.03 1 Jan
#> 37 2020-01-01 1 arc1046 - arc1050 -0.15 1 Jan
#> 38 2020-01-01 1 arc1047 - arc1048 -0.19 1 Jan
#> 39 2020-01-01 1 arc1047 - arc1050 -0.37 1 Jan
#> 40 2020-01-01 1 arc1048 - arc1050 -0.18 1 Jan
#> 41 2020-01-01 2 arc1045 - arc1046 1.17 1 Jan
#> 42 2020-01-01 2 arc1045 - arc1047 1.50 1 Jan
#> 43 2020-01-01 2 arc1045 - arc1048 1.17 1 Jan
#> 44 2020-01-01 2 arc1045 - arc1050 0.98 1 Jan
#> 45 2020-01-01 2 arc1046 - arc1047 0.33 1 Jan
#> 46 2020-01-01 2 arc1046 - arc1048 0.00 1 Jan
#> 47 2020-01-01 2 arc1046 - arc1050 -0.19 1 Jan
#> 48 2020-01-01 2 arc1047 - arc1048 -0.33 1 Jan
#> 49 2020-01-01 2 arc1047 - arc1050 -0.52 1 Jan
#> 50 2020-01-01 2 arc1048 - arc1050 -0.19 1 Jan
#> 51 2020-01-01 3 arc1045 - arc1046 1.01 1 Jan
#> 52 2020-01-01 3 arc1045 - arc1047 1.25 1 Jan
#> 53 2020-01-01 3 arc1045 - arc1048 1.00 1 Jan
#> 54 2020-01-01 3 arc1045 - arc1050 0.85 1 Jan
#> 55 2020-01-01 3 arc1046 - arc1047 0.24 1 Jan
#> 56 2020-01-01 3 arc1046 - arc1048 -0.02 1 Jan
#> 57 2020-01-01 3 arc1046 - arc1050 -0.16 1 Jan
#> 58 2020-01-01 3 arc1047 - arc1048 -0.26 1 Jan
#> 59 2020-01-01 3 arc1047 - arc1050 -0.40 1 Jan
#> 60 2020-01-01 3 arc1048 - arc1050 -0.14 1 Jan
#> 61 2020-02-01 1 arc1045 - arc1047 0.65 1 Feb
#> 62 2020-02-01 1 arc1045 - arc1048 0.65 1 Feb
#> 63 2020-02-01 1 arc1045 - arc1050 0.73 1 Feb
#> 64 2020-02-01 1 arc1047 - arc1048 0.00 1 Feb
#> 65 2020-02-01 1 arc1047 - arc1050 0.08 1 Feb
#> 66 2020-02-01 1 arc1048 - arc1050 0.08 1 Feb
#> 67 2020-02-01 2 arc1045 - arc1047 0.67 1 Feb
#> 68 2020-02-01 2 arc1045 - arc1048 0.54 1 Feb
#> 69 2020-02-01 2 arc1045 - arc1050 0.56 1 Feb
#> 70 2020-02-01 2 arc1047 - arc1048 -0.14 1 Feb
#> 71 2020-02-01 2 arc1047 - arc1050 -0.11 1 Feb
#> 72 2020-02-01 2 arc1048 - arc1050 0.03 1 Feb
#> 73 2020-02-01 3 arc1045 - arc1047 0.82 1 Feb
#> 74 2020-02-01 3 arc1045 - arc1048 0.62 1 Feb
#> 75 2020-02-01 3 arc1045 - arc1050 0.59 1 Feb
#> 76 2020-02-01 3 arc1047 - arc1048 -0.20 1 Feb
#> 77 2020-02-01 3 arc1047 - arc1050 -0.24 1 Feb
#> 78 2020-02-01 3 arc1048 - arc1050 -0.04 1 Feb
#> 79 2020-03-01 1 arc1045 - arc1046 1.31 1 Mar
#> 80 2020-03-01 1 arc1045 - arc1047 1.35 1 Mar
#> 81 2020-03-01 1 arc1045 - arc1048 1.24 1 Mar
#> 82 2020-03-01 1 arc1045 - arc1050 0.94 1 Mar
#> 83 2020-03-01 1 arc1046 - arc1047 0.04 1 Mar
#> 84 2020-03-01 1 arc1046 - arc1048 -0.07 1 Mar
#> 85 2020-03-01 1 arc1046 - arc1050 -0.37 1 Mar
#> 86 2020-03-01 1 arc1047 - arc1048 -0.11 1 Mar
#> 87 2020-03-01 1 arc1047 - arc1050 -0.41 1 Mar
#> 88 2020-03-01 1 arc1048 - arc1050 -0.30 1 Mar
#> 89 2020-03-01 2 arc1045 - arc1046 1.54 1 Mar
#> 90 2020-03-01 2 arc1045 - arc1047 1.52 1 Mar
#> 91 2020-03-01 2 arc1045 - arc1048 1.42 1 Mar
#> 92 2020-03-01 2 arc1045 - arc1050 1.28 1 Mar
#> 93 2020-03-01 2 arc1046 - arc1047 -0.02 1 Mar
#> 94 2020-03-01 2 arc1046 - arc1048 -0.12 1 Mar
#> 95 2020-03-01 2 arc1046 - arc1050 -0.26 1 Mar
#> 96 2020-03-01 2 arc1047 - arc1048 -0.11 1 Mar
#> 97 2020-03-01 2 arc1047 - arc1050 -0.24 1 Mar
#> 98 2020-03-01 2 arc1048 - arc1050 -0.14 1 Mar
#> 99 2020-03-01 3 arc1045 - arc1046 1.55 1 Mar
#> 100 2020-03-01 3 arc1045 - arc1047 1.50 1 Mar
#> 101 2020-03-01 3 arc1045 - arc1048 1.44 1 Mar
#> 102 2020-03-01 3 arc1045 - arc1050 1.32 1 Mar
#> 103 2020-03-01 3 arc1046 - arc1047 -0.05 1 Mar
#> 104 2020-03-01 3 arc1046 - arc1048 -0.11 1 Mar
#> 105 2020-03-01 3 arc1046 - arc1050 -0.23 1 Mar
#> 106 2020-03-01 3 arc1047 - arc1048 -0.05 1 Mar
#> 107 2020-03-01 3 arc1047 - arc1050 -0.18 1 Mar
#> 108 2020-03-01 3 arc1048 - arc1050 -0.12 1 Mar
#> 109 2020-04-01 1 arc1045 - arc1046 1.45 1 Apr
#> 110 2020-04-01 1 arc1045 - arc1047 1.67 1 Apr
#> 111 2020-04-01 1 arc1045 - arc1048 1.52 1 Apr
#> 112 2020-04-01 1 arc1045 - arc1050 1.17 1 Apr
#> 113 2020-04-01 1 arc1046 - arc1047 0.22 1 Apr
#> 114 2020-04-01 1 arc1046 - arc1048 0.07 1 Apr
#> 115 2020-04-01 1 arc1046 - arc1050 -0.28 1 Apr
#> 116 2020-04-01 1 arc1047 - arc1048 -0.15 1 Apr
#> 117 2020-04-01 1 arc1047 - arc1050 -0.49 1 Apr
#> 118 2020-04-01 1 arc1048 - arc1050 -0.35 1 Apr
#> 119 2020-04-01 2 arc1045 - arc1046 1.29 1 Apr
#> 120 2020-04-01 2 arc1045 - arc1047 1.36 1 Apr
#> 121 2020-04-01 2 arc1045 - arc1048 1.19 1 Apr
#> 122 2020-04-01 2 arc1045 - arc1050 0.85 1 Apr
#> 123 2020-04-01 2 arc1046 - arc1047 0.07 1 Apr
#> 124 2020-04-01 2 arc1046 - arc1048 -0.10 1 Apr
#> 125 2020-04-01 2 arc1046 - arc1050 -0.44 1 Apr
#> 126 2020-04-01 2 arc1047 - arc1048 -0.17 1 Apr
#> 127 2020-04-01 2 arc1047 - arc1050 -0.51 1 Apr
#> 128 2020-04-01 2 arc1048 - arc1050 -0.34 1 Apr
#> 129 2020-04-01 3 arc1045 - arc1046 1.41 1 Apr
#> 130 2020-04-01 3 arc1045 - arc1047 1.70 1 Apr
#> 131 2020-04-01 3 arc1045 - arc1048 1.18 1 Apr
#> 132 2020-04-01 3 arc1045 - arc1050 0.97 1 Apr
#> 133 2020-04-01 3 arc1046 - arc1047 0.29 1 Apr
#> 134 2020-04-01 3 arc1046 - arc1048 -0.23 1 Apr
#> 135 2020-04-01 3 arc1046 - arc1050 -0.44 1 Apr
#> 136 2020-04-01 3 arc1047 - arc1048 -0.52 1 Apr
#> 137 2020-04-01 3 arc1047 - arc1050 -0.73 1 Apr
#> 138 2020-04-01 3 arc1048 - arc1050 -0.21 1 Apr
#> 139 2020-06-01 1 arc1045 - arc1046 0.09 1 Jun
#> 140 2020-06-01 1 arc1045 - arc1047 0.18 1 Jun
#> 141 2020-06-01 1 arc1045 - arc1048 0.26 1 Jun
#> 142 2020-06-01 1 arc1045 - arc1050 0.21 1 Jun
#> 143 2020-06-01 1 arc1046 - arc1047 0.09 1 Jun
#> 144 2020-06-01 1 arc1046 - arc1048 0.17 1 Jun
#> 145 2020-06-01 1 arc1046 - arc1050 0.12 1 Jun
#> 146 2020-06-01 1 arc1047 - arc1048 0.08 1 Jun
#> 147 2020-06-01 1 arc1047 - arc1050 0.03 1 Jun
#> 148 2020-06-01 1 arc1048 - arc1050 -0.05 1 Jun
#> 149 2020-06-01 2 arc1045 - arc1046 0.04 1 Jun
#> 150 2020-06-01 2 arc1045 - arc1047 0.12 1 Jun
#> 151 2020-06-01 2 arc1045 - arc1048 0.21 1 Jun
#> 152 2020-06-01 2 arc1045 - arc1050 0.17 1 Jun
#> 153 2020-06-01 2 arc1046 - arc1047 0.08 1 Jun
#> 154 2020-06-01 2 arc1046 - arc1048 0.17 1 Jun
#> 155 2020-06-01 2 arc1046 - arc1050 0.12 1 Jun
#> 156 2020-06-01 2 arc1047 - arc1048 0.09 1 Jun
#> 157 2020-06-01 2 arc1047 - arc1050 0.04 1 Jun
#> 158 2020-06-01 2 arc1048 - arc1050 -0.05 1 Jun
#> 159 2020-06-01 3 arc1045 - arc1046 -0.03 1 Jun
#> 160 2020-06-01 3 arc1045 - arc1047 -0.10 1 Jun
#> 161 2020-06-01 3 arc1045 - arc1048 0.13 1 Jun
#> 162 2020-06-01 3 arc1045 - arc1050 0.10 1 Jun
#> 163 2020-06-01 3 arc1046 - arc1047 -0.07 1 Jun
#> 164 2020-06-01 3 arc1046 - arc1048 0.16 1 Jun
#> 165 2020-06-01 3 arc1046 - arc1050 0.13 1 Jun
#> 166 2020-06-01 3 arc1047 - arc1048 0.23 1 Jun
#> 167 2020-06-01 3 arc1047 - arc1050 0.19 1 Jun
#> 168 2020-06-01 3 arc1048 - arc1050 -0.03 1 Jun
#> 169 2020-07-01 1 arc1045 - arc1047 0.13 1 Jul
#> 170 2020-07-01 1 arc1045 - arc1048 1.19 1 Jul
#> 171 2020-07-01 1 arc1045 - arc1050 0.71 1 Jul
#> 172 2020-07-01 1 arc1047 - arc1048 1.06 1 Jul
#> 173 2020-07-01 1 arc1047 - arc1050 0.58 1 Jul
#> 174 2020-07-01 1 arc1048 - arc1050 -0.48 1 Jul
#> 175 2020-07-01 2 arc1045 - arc1047 0.06 1 Jul
#> 176 2020-07-01 2 arc1045 - arc1048 0.76 1 Jul
#> 177 2020-07-01 2 arc1045 - arc1050 0.39 1 Jul
#> 178 2020-07-01 2 arc1047 - arc1048 0.70 1 Jul
#> 179 2020-07-01 2 arc1047 - arc1050 0.34 1 Jul
#> 180 2020-07-01 2 arc1048 - arc1050 -0.37 1 Jul
#> 181 2020-07-01 3 arc1045 - arc1047 0.08 1 Jul
#> 182 2020-07-01 3 arc1045 - arc1048 0.64 1 Jul
#> 183 2020-07-01 3 arc1045 - arc1050 0.25 1 Jul
#> 184 2020-07-01 3 arc1047 - arc1048 0.56 1 Jul
#> 185 2020-07-01 3 arc1047 - arc1050 0.18 1 Jul
#> 186 2020-07-01 3 arc1048 - arc1050 -0.38 1 Jul
#> 187 2020-08-01 1 arc1045 - arc1046 0.49 1 Aug
#> 188 2020-08-01 1 arc1045 - arc1047 0.44 1 Aug
#> 189 2020-08-01 1 arc1045 - arc1048 0.76 1 Aug
#> 190 2020-08-01 1 arc1045 - arc1050 0.60 1 Aug
#> 191 2020-08-01 1 arc1046 - arc1047 -0.05 1 Aug
#> 192 2020-08-01 1 arc1046 - arc1048 0.27 1 Aug
#> 193 2020-08-01 1 arc1046 - arc1050 0.11 1 Aug
#> 194 2020-08-01 1 arc1047 - arc1048 0.32 1 Aug
#> 195 2020-08-01 1 arc1047 - arc1050 0.16 1 Aug
#> 196 2020-08-01 1 arc1048 - arc1050 -0.16 1 Aug
#> 197 2020-08-01 2 arc1045 - arc1046 1.10 1 Aug
#> 198 2020-08-01 2 arc1045 - arc1047 0.69 1 Aug
#> 199 2020-08-01 2 arc1045 - arc1048 1.25 1 Aug
#> 200 2020-08-01 2 arc1045 - arc1050 0.94 1 Aug
#> 201 2020-08-01 2 arc1046 - arc1047 -0.41 1 Aug
#> 202 2020-08-01 2 arc1046 - arc1048 0.15 1 Aug
#> 203 2020-08-01 2 arc1046 - arc1050 -0.16 1 Aug
#> 204 2020-08-01 2 arc1047 - arc1048 0.56 1 Aug
#> 205 2020-08-01 2 arc1047 - arc1050 0.25 1 Aug
#> 206 2020-08-01 2 arc1048 - arc1050 -0.31 1 Aug
#> 207 2020-08-01 3 arc1045 - arc1046 0.59 1 Aug
#> 208 2020-08-01 3 arc1045 - arc1047 0.21 1 Aug
#> 209 2020-08-01 3 arc1045 - arc1048 0.84 1 Aug
#> 210 2020-08-01 3 arc1045 - arc1050 0.70 1 Aug
#> 211 2020-08-01 3 arc1046 - arc1047 -0.38 1 Aug
#> 212 2020-08-01 3 arc1046 - arc1048 0.25 1 Aug
#> 213 2020-08-01 3 arc1046 - arc1050 0.10 1 Aug
#> 214 2020-08-01 3 arc1047 - arc1048 0.63 1 Aug
#> 215 2020-08-01 3 arc1047 - arc1050 0.48 1 Aug
#> 216 2020-08-01 3 arc1048 - arc1050 -0.15 1 Aug
#> 217 2020-09-01 1 arc1045 - arc1046 0.75 1 Sep
#> 218 2020-09-01 1 arc1045 - arc1047 0.81 1 Sep
#> 219 2020-09-01 1 arc1045 - arc1050 0.95 1 Sep
#> 220 2020-09-01 1 arc1046 - arc1047 0.06 1 Sep
#> 221 2020-09-01 1 arc1046 - arc1050 0.21 1 Sep
#> 222 2020-09-01 1 arc1047 - arc1050 0.15 1 Sep
#> 223 2020-09-01 2 arc1045 - arc1046 0.76 1 Sep
#> 224 2020-09-01 2 arc1045 - arc1047 0.82 1 Sep
#> 225 2020-09-01 2 arc1045 - arc1050 0.87 1 Sep
#> 226 2020-09-01 2 arc1046 - arc1047 0.06 1 Sep
#> 227 2020-09-01 2 arc1046 - arc1050 0.11 1 Sep
#> 228 2020-09-01 2 arc1047 - arc1050 0.04 1 Sep
#> 229 2020-09-01 3 arc1045 - arc1046 1.02 1 Sep
#> 230 2020-09-01 3 arc1045 - arc1047 1.03 1 Sep
#> 231 2020-09-01 3 arc1045 - arc1050 1.16 1 Sep
#> 232 2020-09-01 3 arc1046 - arc1047 0.01 1 Sep
#> 233 2020-09-01 3 arc1046 - arc1050 0.14 1 Sep
#> 234 2020-09-01 3 arc1047 - arc1050 0.13 1 Sep
#> 235 2020-05-01 1 arc1047 - arc1050 0.03 1 May
#> 236 2020-05-01 2 arc1047 - arc1050 0.02 1 May
#> 237 2020-05-01 3 arc1047 - arc1050 -0.03 1 May
由reprex package（v0.3.0）于2020-11-04创建
devtools::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.0.2 (2020-06-22)
#> os macOS Catalina 10.15.7
#> system x86_64,darwin17.0
#> ui X11
#> language (EN)
#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Melbourne
#> date 2020-11-04
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
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#>
#> [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/library
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