Code

---
title: "flexdashboard + plotly + crosstalk"
output: flexdashboard::flex_dashboard
---

```{r setup, include=FALSE}
library(plotly)
library(crosstalk)
lw <- read.csv("length-weight_data.csv")
shared_lw <- SharedData$new(lw)
```

Column {.tabset}
-------------------------------------

### Length-Weight relationship

```{r}
plot_ly(data = shared_lw) %>% 
    add_markers(x = ~length, y = ~weight, name = "Observed") %>% 
    add_lines(x = ~length, y = ~exp(fit), name = "Predicted")
```

### Residuals vs. fitted values

```{r}
plot_ly(data = shared_lw) %>% 
    add_markers(x = ~fit, y = ~res)
```

This will generate a simple flexdashboard with two interactive figures (duplicated to the right)

Quick start

1. Download code and data

2. Open skeleton.Rmd in Rstudio

3. Install packages: install.packages(c("flexdashboard", "plotly", "crosstalk"))

4. Knit file by typing Ctrl+Shift+K or use the button

Details

This skeleton is a verbatim copy of an R markdown file (`<a href="data:text/x-markdown;base64,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" download="skeleton.Rmd">skeleton.Rmd</a>`{=html}) set-up to produce a simple flexdashboard with interactive plotly visuals connected by crosstalk. Like most R markdown files, it includes three types of content:

1. A YAML header surrounded by ----
2. Text following markdown formatting
3. R code chunks surrounded by ```

The YAML header includes the metadata for the file, such as the document title and output format:

---
title: "flexdashboard + plotly + crosstalk"
output: flexdashboard::flex_dashboard
---

While only a title and format was specified in the skeleton, many other options are available (e.g. author, date).

The next section is a chunk of R code:

```{r setup, include=FALSE} 
library(plotly)
library(crosstalk)
lw <- read.csv("length-weight_data.csv")
shared_lw <- SharedData$new(lw)
```

This is where the plotly and crosstalk packages are loaded along with some sample data (`<a href="data:text/csv;base64,"record","year","month","day","length","weight","fit","res"
1,1980,5,22,41,580,6.399,-0.036
2,1980,5,22,65,2210,7.851,-0.15
3,1980,5,24,20,50,4.139,-0.226
4,1980,11,23,38,630,6.16,0.286
5,1981,4,7,81,5210,8.544,0.014
6,1981,11,21,85,6800,8.696,0.129
7,1982,3,14,48,1030,6.896,0.041
8,1982,3,23,42,630,6.475,-0.03
9,1982,5,7,54,1450,7.267,0.012
10,1982,11,9,90,6880,8.876,-0.04
11,1982,11,22,92,7630,8.945,-0.005
12,1983,3,19,86,5410,8.733,-0.137
13,1983,3,25,71,3810,8.129,0.116
14,1983,7,12,124,16800,9.885,-0.156
15,1983,7,27,53,1240,7.208,-0.085
16,1983,7,27,45,840,6.693,0.041
17,1983,8,1,96,7280,9.079,-0.186
18,1983,10,25,20,60,4.139,-0.044
19,1983,11,5,34,400,5.81,0.182
20,1983,12,3,23,100,4.579,0.026
21,1984,5,19,103,10330,9.301,-0.058
22,1984,8,13,85,4550,8.696,-0.273
23,1984,8,20,97,9580,9.112,0.056
24,1984,11,26,88,5970,8.805,-0.111
25,1985,1,16,34,350,5.81,0.048
26,1985,3,21,71,3300,8.129,-0.027
27,1985,3,23,47,800,6.83,-0.145
28,1985,3,23,38,430,6.16,-0.096
29,1985,3,23,58,1800,7.492,0.004
30,1985,8,20,55,1530,7.325,0.008
31,1985,10,25,48,1060,6.896,0.07
32,1985,10,26,51,1350,7.087,0.121
33,1985,10,26,49,1110,6.961,0.051
34,1985,10,29,40,620,6.322,0.108
35,1985,10,30,107,11390,9.421,-0.08
36,1986,1,18,79,4750,8.465,0.001
37,1986,1,18,59,1870,7.546,-0.012
38,1986,2,12,33,280,5.716,-0.081
39,1986,2,16,73,3430,8.216,-0.076
40,1986,8,24,37,370,6.076,-0.163
41,1986,8,24,37,380,6.076,-0.136
42,1986,11,5,63,2210,7.752,-0.052
43,1986,11,17,75,3940,8.302,-0.023
44,1986,11,29,33,280,5.716,-0.081
45,1987,2,12,55,1560,7.325,0.028
46,1987,6,20,56,1380,7.381,-0.152
47,1987,6,20,23,90,4.579,-0.079
48,1987,8,3,92,6600,8.945,-0.15
49,1987,8,5,32,280,5.619,0.016
50,1987,8,5,66,2720,7.899,0.009
51,1987,10,20,37,400,6.076,-0.085
52,1987,11,1,61,2090,7.651,-0.006
53,1987,11,30,36,450,5.99,0.119
54,1988,2,16,42,640,6.475,-0.014
55,1988,2,20,71,2910,8.129,-0.153
56,1988,10,27,45,720,6.693,-0.113
57,1988,10,27,65,2200,7.851,-0.155
58,1988,11,1,106,13050,9.391,0.085
59,1988,11,6,70,3200,8.084,-0.013
60,1988,11,7,30,250,5.416,0.106
61,1988,11,21,43,780,6.549,0.11
62,1988,11,25,44,860,6.622,0.135
63,1988,12,3,88,6730,8.805,0.009
64,1989,2,22,42,610,6.475,-0.062
65,1989,11,2,40,560,6.322,0.006
66,1989,11,3,69,3690,8.039,0.174
67,1989,11,12,65,3180,7.851,0.214
68,1989,11,15,29,200,5.309,-0.01
69,1989,11,26,17,40,3.627,0.062
70,1989,12,7,43,630,6.549,-0.104
71,1989,12,9,27,180,5.084,0.109
72,1990,2,11,43,640,6.549,-0.088
73,1990,2,19,66,2350,7.899,-0.137
74,1990,3,4,53,1250,7.208,-0.077
75,1990,5,19,78,4480,8.425,-0.018
76,1990,5,19,28,160,5.198,-0.123
77,1990,5,24,77,4830,8.385,0.098
78,1990,5,26,68,3100,7.993,0.046
79,1990,5,28,33,300,5.716,-0.012
80,1990,6,2,76,4320,8.343,0.028
81,1990,8,10,30,220,5.416,-0.022
82,1990,10,19,45,780,6.693,-0.033
83,1990,11,7,56,1580,7.381,-0.016
84,1990,11,11,29,210,5.309,0.038
85,1990,11,17,35,380,5.901,0.039
86,1990,11,17,27,170,5.084,0.052
87,1990,11,23,70,3790,8.084,0.156
88,1990,11,25,18,40,3.807,-0.118
89,1990,11,25,69,2730,8.039,-0.127
90,1990,11,28,29,210,5.309,0.038
91,1990,11,29,27,170,5.084,0.052
92,1990,11,29,41,610,6.399,0.014
93,1990,11,30,55,1680,7.325,0.102
94,1990,12,1,72,3930,8.173,0.103
95,1990,12,7,47,970,6.83,0.048
96,1990,12,7,43,770,6.549,0.097
97,1991,2,8,32,270,5.619,-0.02
98,1991,2,22,70,2730,8.084,-0.172
99,1991,2,22,66,2470,7.899,-0.087
100,1991,3,16,42,580,6.475,-0.112
101,1991,3,16,47,900,6.83,-0.027
102,1991,3,25,42,570,6.475,-0.13
103,1991,3,25,72,3100,8.173,-0.134
104,1991,3,25,41,520,6.399,-0.146
105,1991,3,25,37,440,6.076,0.011
106,1991,5,20,19,50,3.977,-0.065
107,1991,5,22,36,390,5.99,-0.024
108,1991,5,24,51,1050,7.087,-0.13
109,1991,8,6,34,330,5.81,-0.011
110,1991,11,11,42,760,6.475,0.158
111,1991,11,12,41,590,6.399,-0.019
112,1991,11,16,26,130,4.965,-0.097
113,1991,11,16,45,680,6.693,-0.171
114,1991,11,18,49,1100,6.961,0.042
115,1991,11,18,44,790,6.622,0.05
116,1991,11,20,49,1080,6.961,0.024
117,1991,11,26,45,820,6.693,0.017
118,1991,11,28,42,600,6.475,-0.078
119,1991,12,11,45,790,6.693,-0.021
120,1991,12,13,58,1840,7.492,0.026
121,1992,3,1,58,1650,7.492,-0.083
122,1992,4,15,37,420,6.076,-0.036
123,1992,4,23,35,350,5.901,-0.043
124,1992,5,31,52,1150,7.148,-0.101
125,1992,11,7,45,970,6.693,0.185
126,1992,11,9,49,1220,6.961,0.146
127,1992,11,10,62,2860,7.702,0.257
128,1992,11,11,40,530,6.322,-0.049
129,1992,11,26,47,1050,6.83,0.127
130,1992,12,3,50,900,7.025,-0.222
131,1993,2,23,31,260,5.519,0.042
132,1993,2,28,58,1740,7.492,-0.03
133,1993,6,3,40,440,6.322,-0.235
134,1993,6,4,42,520,6.475,-0.222
135,1993,6,4,56,1100,7.381,-0.378
136,1993,8,11,61,1810,7.651,-0.15
137,1993,11,5,34,280,5.81,-0.175
138,1993,11,23,33,310,5.716,0.021
139,1993,12,1,54,1620,7.267,0.123
140,1994,2,28,42,560,6.475,-0.147
141,1994,2,28,40,570,6.322,0.024
142,1994,3,3,34,320,5.81,-0.041
143,1994,5,29,26,140,4.965,-0.023
144,1994,6,5,40,500,6.322,-0.107
145,1995,1,11,39,600,6.242,0.155
146,1995,2,2,22,80,4.439,-0.057
147,1995,7,14,41,610,6.399,0.014
148,1995,8,15,58,1630,7.492,-0.096
149,1995,8,29,63,2260,7.752,-0.029
150,1995,12,5,30,270,5.416,0.183
151,1995,12,6,40,60,6.322,-2.227
152,1995,12,6,27,170,5.084,0.052
153,1995,12,16,15,30,3.232,0.169
154,1996,6,8,53,1340,7.208,-0.008
155,1996,6,20,48,960,6.896,-0.029
156,1996,7,16,63,2650,7.752,0.13
157,1996,7,31,77,4740,8.385,0.079
158,1996,8,6,62,2890,7.702,0.267
159,1996,8,14,57,2050,7.437,0.188
160,1996,8,20,67,3090,7.946,0.09
161,1996,9,18,40,650,6.322,0.155
162,1996,9,18,42,730,6.475,0.118
163,1996,10,31,25,140,4.841,0.1
164,1996,11,9,47,930,6.83,0.006
165,1996,11,10,37,440,6.076,0.011
166,1996,11,10,20,60,4.139,-0.044
167,1996,11,10,16,30,3.436,-0.034
168,1996,11,11,32,280,5.619,0.016
169,1996,11,15,36,380,5.99,-0.05
170,1996,11,15,28,220,5.198,0.195
171,1996,11,16,25,130,4.841,0.026
172,1997,1,25,33,300,5.716,-0.012
173,1997,7,10,56,1440,7.381,-0.109
174,1997,7,23,58,2070,7.492,0.143
175,1997,7,29,33,490,5.716,0.479
176,1997,8,21,50,1080,7.025,-0.04
177,1997,8,23,62,2170,7.702,-0.02
178,1997,8,27,63,2660,7.752,0.134
179,1997,9,8,73,3520,8.216,-0.05
180,1997,9,27,63,2470,7.752,0.06
181,1997,10,7,91,7660,8.911,0.033
182,1997,10,7,38,460,6.16,-0.029
183,1997,11,10,47,860,6.83,-0.073
184,1997,11,11,34,330,5.81,-0.011
185,1997,11,12,39,600,6.242,0.155
186,1997,11,14,48,830,6.896,-0.175
187,1997,12,9,38,480,6.16,0.014
188,1998,6,30,64,2030,7.802,-0.186
189,1998,7,22,44,810,6.622,0.075
190,1998,7,28,73,4280,8.216,0.145
191,1998,8,26,69,3530,8.039,0.13
192,1998,8,27,63,2300,7.752,-0.012
193,1998,10,20,22,80,4.439,-0.057
194,1998,10,22,38,520,6.16,0.094
195,1998,10,31,43,670,6.549,-0.042
196,1998,11,4,50,1210,7.025,0.074
197,1998,11,5,22,100,4.439,0.166
198,1998,11,25,43,670,6.549,-0.042
199,1999,6,16,55,1540,7.325,0.015
200,1999,6,17,85,6150,8.696,0.028
201,1999,6,20,69,3100,8.039,0
202,1999,6,28,31,250,5.519,0.003
203,1999,6,28,32,290,5.619,0.051
204,1999,6,28,67,2280,7.946,-0.214
205,1999,6,29,63,2140,7.752,-0.084
206,1999,7,13,59,2250,7.546,0.173
207,1999,7,22,71,2690,8.129,-0.232
208,1999,11,22,14,20,3.015,-0.019
209,1999,11,23,29,200,5.309,-0.01
210,1999,12,7,44,720,6.622,-0.043
211,2000,6,9,44,640,6.622,-0.16
212,2000,6,27,64,2510,7.802,0.026
213,2000,7,13,44,660,6.622,-0.13
214,2000,8,15,70,3560,8.084,0.093
215,2000,8,22,61,2160,7.651,0.027
216,2000,8,24,57,1780,7.437,0.047
217,2000,8,24,56,2040,7.381,0.239
218,2000,8,31,60,2470,7.599,0.213
219,2000,11,2,44,690,6.622,-0.085
220,2000,11,12,47,810,6.83,-0.133
221,2000,11,19,19,60,3.977,0.117
222,2000,11,22,24,130,4.713,0.155
223,2000,11,23,60,1800,7.599,-0.103
224,2000,11,30,41,570,6.399,-0.054
225,2000,12,6,31,250,5.519,0.003
226,2000,12,9,12,10,2.53,-0.227
227,2000,12,10,21,60,4.292,-0.198
228,2001,6,18,29,190,5.309,-0.062
229,2001,6,19,23,90,4.579,-0.079
230,2001,7,4,45,940,6.693,0.153
231,2001,7,10,57,1870,7.437,0.096
232,2001,7,31,79,4350,8.465,-0.087
233,2001,8,1,62,1910,7.702,-0.147
234,2001,9,5,67,2650,7.946,-0.064
235,2001,11,25,36,370,5.99,-0.076
236,2001,11,26,41,620,6.399,0.03
237,2001,12,1,33,350,5.716,0.142
238,2001,12,1,37,480,6.076,0.098
239,2001,12,2,39,520,6.242,0.012
240,2001,12,4,47,960,6.83,0.037
241,2001,12,6,18,40,3.807,-0.118
242,2001,12,7,29,200,5.309,-0.01
243,2001,12,7,38,440,6.16,-0.073
244,2001,12,7,53,1160,7.208,-0.152
245,2001,12,11,32,260,5.619,-0.058
246,2001,12,13,16,30,3.436,-0.034
247,2002,3,20,78,4630,8.425,0.015
248,2002,5,23,66,2550,7.899,-0.055
249,2002,6,7,41,550,6.399,-0.09
250,2002,6,7,28,160,5.198,-0.123
251,2002,7,31,65,2780,7.851,0.079
252,2002,8,6,68,2980,7.993,0.007
253,2002,8,7,75,3880,8.302,-0.038
254,2002,8,7,66,2190,7.899,-0.207
255,2002,8,27,58,2120,7.492,0.167
256,2002,8,28,70,3070,8.084,-0.055
257,2002,9,11,76,4520,8.343,0.073
258,2002,10,30,47,960,6.83,0.037
259,2002,11,2,57,1760,7.437,0.036
260,2002,11,17,17,40,3.627,0.062
261,2002,12,2,35,340,5.901,-0.072
262,2002,12,2,38,480,6.16,0.014
263,2003,1,5,35,400,5.901,0.09
264,2003,1,6,55,1390,7.325,-0.088
265,2003,1,7,33,320,5.716,0.053
266,2003,4,10,77,4910,8.385,0.115
267,2003,4,10,61,2000,7.651,-0.05
268,2003,5,2,67,2950,7.946,0.043
269,2003,6,8,51,1080,7.087,-0.102
270,2003,7,24,86,5610,8.733,-0.1
271,2003,8,27,64,2570,7.802,0.05
272,2003,8,29,60,2200,7.599,0.097
273,2003,9,9,45,870,6.693,0.076
274,2003,9,9,45,720,6.693,-0.113
275,2003,9,17,62,2550,7.702,0.142
276,2003,11,27,46,890,6.762,0.029
277,2003,12,9,39,500,6.242,-0.027
278,2003,12,11,18,40,3.807,-0.118
279,2003,12,16,41,620,6.399,0.03
280,2004,1,11,14,20,3.015,-0.019
281,2004,1,13,37,440,6.076,0.011
282,2004,1,24,16,30,3.436,-0.034
283,2004,1,29,40,480,6.322,-0.148
284,2004,6,13,19,50,3.977,-0.065
285,2004,6,22,61,2420,7.651,0.141
286,2004,7,28,58,2000,7.492,0.109
287,2004,8,4,61,2250,7.651,0.068
288,2004,8,17,59,2360,7.546,0.221
289,2004,10,28,24,140,4.713,0.229
290,2004,11,11,33,320,5.716,0.053
291,2004,11,17,47,1070,6.83,0.146
292,2004,12,7,17,40,3.627,0.062
293,2004,12,9,36,440,5.99,0.097
294,2004,12,12,19,50,3.977,-0.065
295,2004,12,13,36,430,5.99,0.074
296,2005,6,23,24,120,4.713,0.075
297,2005,6,28,26,160,4.965,0.11
298,2005,7,2,61,1880,7.651,-0.112
299,2005,7,4,71,3460,8.129,0.02
300,2005,7,20,36,510,5.99,0.245
301,2005,7,20,37,470,6.076,0.077
302,2005,7,27,75,3410,8.302,-0.167
303,2005,11,3,38,560,6.16,0.168
304,2005,11,9,26,150,4.965,0.046
305,2005,11,24,35,380,5.901,0.039
306,2005,11,27,43,780,6.549,0.11
307,2005,11,29,26,150,4.965,0.046
308,2005,12,14,15,30,3.232,0.169
309,2006,1,8,46,930,6.762,0.073
310,2006,5,26,46,800,6.762,-0.077
311,2006,6,22,13,10,2.782,-0.479
312,2006,6,22,27,180,5.084,0.109
313,2006,7,11,68,2920,7.993,-0.014
314,2006,7,20,59,2080,7.546,0.094
315,2006,8,2,55,1840,7.325,0.193
316,2006,8,7,60,2090,7.599,0.046
317,2006,8,9,48,960,6.896,-0.029
318,2006,8,21,54,1450,7.267,0.012
319,2006,9,6,38,570,6.16,0.185
320,2006,9,13,49,1140,6.961,0.078
321,2006,11,6,29,210,5.309,0.038
322,2006,11,9,44,660,6.622,-0.13
323,2006,11,15,56,1510,7.381,-0.062
324,2006,11,17,50,1140,7.025,0.014
325,2006,12,3,15,20,3.232,-0.237
326,2006,12,9,15,30,3.232,0.169
327,2007,3,2,54,1600,7.267,0.111
328,2007,7,13,56,1850,7.381,0.141
329,2007,7,13,54,1590,7.267,0.105
330,2007,7,23,45,680,6.693,-0.171
331,2007,7,23,57,1870,7.437,0.096
332,2007,11,3,19,50,3.977,-0.065
333,2007,11,18,29,230,5.309,0.129
334,2007,11,23,20,70,4.139,0.11
335,2007,11,28,80,4910,8.505,-0.006
336,2007,11,30,19,60,3.977,0.117
337,2007,11,30,25,140,4.841,0.1
338,2007,11,30,22,90,4.439,0.061
339,2007,12,8,54,1440,7.267,0.005
340,2007,12,8,41,600,6.399,-0.003
341,2007,12,8,47,1030,6.83,0.108
342,2007,12,11,53,1420,7.208,0.05
343,2007,12,15,63,2430,7.752,0.043
344,2007,12,16,64,2740,7.802,0.114
345,2007,12,16,37,440,6.076,0.011
346,2008,3,1,32,300,5.619,0.085
347,2008,3,3,52,1260,7.148,-0.009
348,2008,3,3,40,600,6.322,0.075
349,2008,3,6,42,630,6.475,-0.03
350,2008,6,4,26,150,4.965,0.046
351,2008,7,2,58,1820,7.492,0.015
352,2008,7,10,58,2030,7.492,0.124
353,2008,7,10,56,1650,7.381,0.027
354,2008,7,28,78,4600,8.425,0.009
355,2008,7,29,66,2640,7.899,-0.02
356,2008,11,11,17,30,3.627,-0.225
357,2008,11,21,25,140,4.841,0.1
358,2008,11,26,71,3470,8.129,0.023
359,2008,12,7,23,110,4.579,0.122
360,2009,7,10,70,2660,8.084,-0.198
361,2009,7,21,62,2400,7.702,0.081
362,2009,7,21,78,3790,8.425,-0.185
363,2009,11,26,20,60,4.139,-0.044
364,2009,12,12,84,5790,8.659,0.005
365,2009,12,12,72,3110,8.173,-0.131
366,2010,6,11,38,440,6.16,-0.073
367,2010,6,17,25,150,4.841,0.169
368,2010,6,22,29,190,5.309,-0.062
369,2010,6,23,26,140,4.965,-0.023
370,2010,7,13,67,2290,7.946,-0.21
371,2010,7,28,55,1630,7.325,0.072
372,2010,8,2,77,3570,8.385,-0.204
373,2010,11,6,52,1180,7.148,-0.075
374,2010,11,18,31,290,5.519,0.151
375,2010,11,21,19,60,3.977,0.117
376,2010,11,25,28,190,5.198,0.049
377,2010,11,26,63,2210,7.752,-0.052
378,2010,11,28,50,1140,7.025,0.014
379,2010,11,28,56,1640,7.381,0.021
380,2010,11,28,32,330,5.619,0.18
381,2010,12,5,30,220,5.416,-0.022
382,2010,12,5,73,3380,8.216,-0.091
383,2010,12,5,63,2760,7.752,0.171
384,2010,12,16,41,570,6.399,-0.054
385,2010,12,19,18,50,3.807,0.105
386,2011,6,8,48,890,6.896,-0.105
387,2011,6,9,30,230,5.416,0.022
388,2011,6,20,62,1980,7.702,-0.111
389,2011,6,21,47,960,6.83,0.037
390,2011,6,22,46,880,6.762,0.018
391,2011,7,12,60,2100,7.599,0.051
392,2011,7,14,78,4270,8.425,-0.066
393,2011,7,27,65,2500,7.851,-0.027
394,2011,8,18,71,3170,8.129,-0.068
395,2011,9,13,61,2260,7.651,0.072
396,2011,11,18,68,3220,7.993,0.084
397,2011,12,8,27,170,5.084,0.052
398,2011,12,11,70,3350,8.084,0.032
399,2012,6,8,46,830,6.762,-0.04
400,2012,6,16,25,160,4.841,0.234
401,2012,7,11,55,1260,7.325,-0.186
402,2012,7,24,52,1720,7.148,0.302
403,2012,11,5,44,840,6.622,0.111
404,2012,11,6,37,460,6.076,0.055
405,2012,11,7,20,60,4.139,-0.044
406,2012,11,17,36,430,5.99,0.074
407,2012,11,19,37,530,6.076,0.197
408,2012,11,22,48,1000,6.896,0.012
409,2012,11,26,52,1270,7.148,-0.001
410,2012,11,29,47,980,6.83,0.058
411,2012,12,2,53,1400,7.208,0.036
412,2012,12,3,95,9790,9.046,0.143
413,2012,12,5,23,90,4.579,-0.079
414,2012,12,15,64,2500,7.802,0.022
415,2012,12,20,67,3110,7.946,0.096
416,2013,6,16,19,50,3.977,-0.065
417,2013,6,17,58,1800,7.492,0.004
418,2013,6,19,47,920,6.83,-0.005
419,2013,6,20,92,9160,8.945,0.177
420,2013,7,23,57,1910,7.437,0.118
421,2013,7,30,87,5460,8.769,-0.164
422,2013,8,16,74,4380,8.259,0.125
423,2013,8,19,60,2010,7.599,0.007
424,2013,10,23,54,1420,7.267,-0.009
425,2013,10,26,42,620,6.475,-0.046
426,2013,11,1,58,1770,7.492,-0.013
427,2013,11,11,73,2950,8.216,-0.227
428,2013,11,18,58,1750,7.492,-0.025
429,2013,11,19,55,1680,7.325,0.102
430,2013,11,25,18,40,3.807,-0.118
431,2013,11,27,72,3450,8.173,-0.027
432,2013,11,27,44,750,6.622,-0.002
433,2014,6,9,18,40,3.807,-0.118
434,2014,6,18,30,220,5.416,-0.022
435,2014,7,14,67,3290,7.946,0.152
436,2014,7,16,67,2710,7.946,-0.042
437,2014,8,17,78,3450,8.425,-0.279
438,2014,8,20,63,2280,7.752,-0.021
439,2014,9,9,64,2450,7.802,0.002
440,2014,10,30,51,1260,7.087,0.052
441,2014,11,14,50,1170,7.025,0.04
442,2014,11,15,52,1460,7.148,0.138
443,2014,11,21,16,30,3.436,-0.034
444,2014,11,28,62,1970,7.702,-0.116
445,2014,11,29,78,5730,8.425,0.228
446,2014,12,7,52,1160,7.148,-0.092
447,2015,1,9,43,720,6.549,0.03
448,2015,10,10,36,440,5.99,0.097
449,2015,10,30,36,420,5.99,0.05
450,2015,11,2,64,2370,7.802,-0.031
451,2015,11,5,27,150,5.084,-0.073
452,2015,11,6,48,1020,6.896,0.032
453,2015,11,13,95,9850,9.046,0.149
454,2015,11,13,30,220,5.416,-0.022
455,2015,11,17,58,1980,7.492,0.099
456,2015,11,18,74,4370,8.259,0.123
457,2015,11,21,33,300,5.716,-0.012
458,2015,11,23,44,660,6.622,-0.13
459,2015,11,28,32,230,5.619,-0.181
460,2015,11,30,73,4430,8.216,0.18
461,2015,12,9,23,100,4.579,0.026
462,2015,12,10,67,2560,7.946,-0.099
463,2016,5,9,12,10,2.53,-0.227
464,2016,5,19,21,80,4.292,0.09
465,2016,6,4,16,30,3.436,-0.034
466,2016,6,10,64,2260,7.802,-0.079
467,2016,6,11,28,170,5.198,-0.062
468,2016,10,28,49,990,6.961,-0.063
469,2016,11,14,30,290,5.416,0.254
470,2016,11,15,16,30,3.436,-0.034
471,2016,11,18,37,450,6.076,0.033
472,2016,11,21,46,800,6.762,-0.077
473,2016,11,26,33,310,5.716,0.021
474,2016,11,30,72,3550,8.173,0.002
475,2016,12,2,31,210,5.519,-0.172
476,2016,12,5,58,1900,7.492,0.058
477,2016,12,11,37,420,6.076,-0.036
478,2016,12,14,80,4090,8.505,-0.189
479,2017,10,27,36,450,5.99,0.119
480,2017,11,2,39,550,6.242,0.068
481,2017,11,3,38,440,6.16,-0.073
482,2017,11,9,50,1100,7.025,-0.021
483,2017,11,10,55,1800,7.325,0.171
484,2017,11,10,52,1320,7.148,0.037
485,2017,11,12,19,60,3.977,0.117
486,2017,11,14,52,1510,7.148,0.172
487,2017,11,14,65,2790,7.851,0.083
488,2017,11,14,44,810,6.622,0.075
489,2017,11,18,63,2130,7.752,-0.089
490,2017,11,25,28,170,5.198,-0.062
491,2017,11,25,40,560,6.322,0.006
492,2018,10,7,42,880,6.475,0.305
493,2018,10,29,44,720,6.622,-0.043
494,2018,11,1,22,80,4.439,-0.057
495,2018,11,3,63,2290,7.752,-0.016
496,2018,11,10,25,130,4.841,0.026
497,2018,12,1,62,1870,7.702,-0.168
498,2018,12,11,51,1220,7.087,0.02
499,2018,12,15,47,910,6.83,-0.016
500,2018,12,15,69,3180,8.039,0.026
" download="length-weight_data.csv">length-weight_data.csv</a>`{=html}). The sample data includes length and weight data (columns length and weight, respectively) along with fitted values and residuals from a length-weight regression (columns called fit and res, respectively). The SharedData function from crosstalk package is also used here to generate a data object that can be “shared” across independent plots.

Following this chunk of R code is a level 2 markdown header that tells flexdashboard to introduce a column break and place the subsequent components into separate tabs:

Column {.tabset}
-------------------------------------

Following this break, independent tabs are defined using three hashtags followed by an optional tab name (level 3 markdown header). This header can be followed by either markdown text or R code. Here, two tabs are generated with plotly plots using shared data from crosstalk:

### Length-Weight relationship

```{r} 
plot_ly(data = shared_lw) %>% 
    add_markers(x = ~length, y = ~weight, name = "Observed") %>% 
    add_lines(x = ~length, y = ~exp(fit), name = "Predicted")
```

### Residuals vs. fitted values

```{r} 
plot_ly(data = shared_lw) %>% 
    add_markers(x = ~fit, y = ~res)
```

The native syntax of plotly was inspired by the grammar of graphics and, as such, its general structure will be familiar to those who have used ggplot2. The package has also been structured to be pipe (%>%) and dplyr friendly, making the code more intuitive and efficient. Though the script ends with the residual vs. fitted plot, the dashboard can easily be extended to include other diagnostic plots, such as a histogram of the residuals.

Once this script is “Knit” (Ctrl+Shift+K in Rstudio), a stand-alone html document will be produced with the plots rendered into independent tabs (shown to the right). Clicking a specific point in one plot will highlight the corresponding point in the other plot. In short, flexdashboard sets up the structure of the document, plotly produces the interactive figures and crosstalk connects the plots held in independent tabs.

Of course, this is only a rudimentary overview of what is possible with flexdashboard, plotly and crosstalk. A wide range of layout options are possible using flexdashboard, plotly can produce more than just scatter and line plots and crosstalk can connect various widgets. See the links provided on the Background page for more details on each package. The hope here is that this skeleton serves as a starting point from which to build more elaborate dashboards tailored to specific needs.

Length-Weight relationship

Residuals vs. fitted values

ggplotly

Using the ggplotly function, a user can construct a plot using ggplot2 and supply the plot object to ggplotly to convert it to an interactive plotly graphic:

library(ggplot2)
p <- ggplot(data = iris, 
            mapping = aes(x = Sepal.Length, 
                          y = Petal.Length, 
                          color = Species)) +
  geom_point() +
  scale_color_manual(values = viridis::viridis(3))
plotly::ggplotly(p)

Output

plot_ly

Using functions from the plotly package, plotly plots can be directly created using syntax similar to ggplot2:

library(plotly)
plot_ly(data = iris, 
        x = ~Sepal.Length, 
        y = ~Petal.Length, 
        color = ~Species,
        colors = viridis::viridis(3)) %>% 
  add_markers()

Output