mtcars |> baseline_table ( )
+
Characteristic N = 32 1 (3.1%) 8
1 (3.1%)
mtcars |> baseline_table ( fun.args = list ( by = "gear" ) )
-
+
Characteristic 3
Examples
mtcars |> create_baseline ( by.var = "gear" , add.p = "yes" == "yes" )
+
Characteristic 3 1 (20)
create_baseline ( default_parsing ( mtcars ) , by.var = "am" , add.p = FALSE , add.overall = FALSE , theme = "lancet" )
-
+
Characteristic FALSE
Examples
c ( sample ( seq ( .1 , 1 , .1 ) , 3 ) , sample ( 1 : 10 , 3 ) ) |> create_log_tics ( ) #> [1] 0.10 0.12 0.25 0.50 0.90 1.00 1.11 2.00 4.00 8.00 10.00#> [1] 0.11 0.12 0.40 0.50 0.80 0.90 1.00 1.11 1.25 2.00 2.50 8.00 9.00
On this page
diff --git a/reference/data-missings.html b/reference/data-missings.html
index 0c6308cd..a257ee14 100644
--- a/reference/data-missings.html
+++ b/reference/data-missings.html
@@ -1,5 +1,7 @@
-Data correlations evaluation module — data-missings • FreesearchR Data correlations evaluation module — data-missings • FreesearchR Skip to contents
@@ -37,19 +39,22 @@
Data correlations evaluation module
+
Data correlations evaluation module
Usage
data_missings_ui ( id ) data_missings_server ( id , data , variable , ... )
+
data_missings_server ( id , data , variable , ... )
+
+
visual_summary_ui ( id )
@@ -72,6 +77,7 @@
Value
Shiny ui module
shiny server module
+
Shiny ui module
On this page
diff --git a/reference/data_summary_gather.html b/reference/data_summary_gather.html
new file mode 100644
index 00000000..1f3c7987
--- /dev/null
+++ b/reference/data_summary_gather.html
@@ -0,0 +1,139 @@
+
+Data summary for printing visual summary — data_summary_gather • FreesearchR Skip to contents
+
+
+
+
+
+
+
+
+
Data summary for printing visual summary
+
+
Usage
+
data_summary_gather ( data ,
+ summary.fun = class ,
+ palette.fun = viridisLite :: viridis
+)
+
+
Arguments
+
+
+
data
+data.frame
palette.fun
+optionally use specific palette functions. First argument
+has to be the length.
fun
+summary function. Default is "class"
+
Examples
+
mtcars |> data_summary_gather ( ) #> $data#> # A tibble: 352 × 4 #> rows variable valueType valueType_num#> <int> <chr> <chr> <dbl> #> 1 1 am numeric 1#> 2 1 carb numeric 1#> 3 1 cyl numeric 1#> 4 1 disp numeric 1#> 5 1 drat numeric 1#> 6 1 gear numeric 1#> 7 1 hp numeric 1#> 8 1 mpg numeric 1#> 9 1 qsec numeric 1#> 10 1 vs numeric 1#> # ℹ 342 more rows #> #> $colors#> numeric #> "#440154FF" #> #> $labels#> $labels[[1]]#> $labels[[1]]$from#> [1] 1#> #> $labels[[1]]$to#> [1] 1#> #> $labels[[1]]$color#> [1] "#440154FF"#> #> $labels[[1]]$name#> [1] "numeric"#> #> #>
+
+
+
+
#> z$qr <- NULL#> z#> }#> <bytecode: 0x55b570a8c338>#> <bytecode: 0x55d350aecab0>#> <environment: namespace:stats>
+ FreesearchR_palette()
+ Use the FreesearchR colors
+
+
add_class_icon()
@@ -190,7 +196,7 @@
Test app for the data-import module
- data_missings_ui() data_missings_server() data_missings_ui() data_missings_server() visual_summary_ui()
Data correlations evaluation module
@@ -214,6 +220,12 @@
Ultra short data dascription
+ data_summary_gather()
+ Data summary for printing visual summary
+
+
data_type()
@@ -616,6 +628,12 @@
Get data type icons
+ unique_short()
+ Create unique short names of character vector items based on index
+
+
update_factor_ui() update_factor_server() modal_update_factor() winbox_update_factor()
@@ -646,6 +664,12 @@
Vertical stacked bar plot wrapper
+ visual_summary()
+ Ggplot2 data summary visualisation based on visdat::vis_dat.
+
+
wide2long()
diff --git a/reference/line_break.html b/reference/line_break.html
index 781a6495..6ac9733e 100644
--- a/reference/line_break.html
+++ b/reference/line_break.html
@@ -77,7 +77,7 @@ Default is FALSE, only splitting at spaces.
"Lorem ipsum... you know the routine" |> line_break ( ) #> [1] "Lorem ipsum... you\nknow the routine"paste ( sample ( letters [ 1 : 10 ] , 100 , TRUE ) , collapse = "" ) |> line_break ( force = TRUE ) #> [1] "iccfegibgccehdajdebj\nhfdbcgbacigaffbaadgb\nbdedhfcjeaifgdbjhiea\naaggajagdfeediafjfib\nfjihdhegiebfajg\n"#> [1] "ccfegibgccehdajdebji\nfdbcgbacigaffbaadgba\ndedhfcjeaifgdbjhieac\naggajagdfeediafjfibb\njihdhegiebfajgf\n"On this page
diff --git a/reference/missings_apex_plot.html b/reference/missings_apex_plot.html
index 5a187b02..b882cfb2 100644
--- a/reference/missings_apex_plot.html
+++ b/reference/missings_apex_plot.html
@@ -1,5 +1,5 @@
-Plot missings and class with apexcharter — missings_apex_plot • FreesearchR Plot missings and class with apexcharter — missings_apex_plot • FreesearchR Skip to contents
@@ -37,7 +37,7 @@
@@ -68,35 +68,14 @@
data_demo <- mtcars data_demo [ 2 : 4 , "cyl" ] <- NA rbind ( data_demo , data_demo , data_demo , data_demo ) |> missings_apex_plot ( ) #> Called from: missings_apex_plot(rbind(data_demo, data_demo, data_demo, data_demo))#> debug: df_plot <- purrr::map_df(data, function(x) {#> ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), #> sep = "\n"))#> }) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, #> names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% #> dplyr::arrange(rows, variable, valueType)#> Error in purrr::map_df(data, function(x) { ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), sep = "\n"))}) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% dplyr::arrange(rows, variable, valueType): could not find function "%>%"data_demo |> missings_apex_plot ( ) #> Called from: missings_apex_plot(data_demo)#> debug: df_plot <- purrr::map_df(data, function(x) {#> ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), #> sep = "\n"))#> }) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, #> names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% #> dplyr::arrange(rows, variable, valueType)#> Error in purrr::map_df(data, function(x) { ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), sep = "\n"))}) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% dplyr::arrange(rows, variable, valueType): could not find function "%>%"mtcars |> missings_apex_plot ( animation = TRUE ) #> Called from: missings_apex_plot(mtcars, animation = TRUE)#> debug: df_plot <- purrr::map_df(data, function(x) {#> ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), #> sep = "\n"))#> }) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, #> names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% #> dplyr::arrange(rows, variable, valueType)#> Error in purrr::map_df(data, function(x) { ifelse(is.na(x), yes = NA, no = glue::glue_collapse(class(x), sep = "\n"))}) %>% dplyr::mutate(rows = dplyr::row_number()) %>% tidyr::pivot_longer(cols = -rows, names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)) %>% dplyr::arrange(rows, variable, valueType): could not find function "%>%"# dplyr::storms |> missings_apex_plot() visdat :: vis_dat ( dplyr :: storms )
+data_demo |> missings_apex_plot ( )
+mtcars |> missings_apex_plot ( animation = TRUE )
+# dplyr::storms |> missings_apex_plot() visdat :: vis_dat ( dplyr :: storms ) #> Error in loadNamespace(x): there is no package called ‘visdat’
On this page
diff --git a/reference/unique_short.html b/reference/unique_short.html
new file mode 100644
index 00000000..ce5ba619
--- /dev/null
+++ b/reference/unique_short.html
@@ -0,0 +1,98 @@
+
+Create unique short names of character vector items based on index — unique_short • FreesearchR Skip to contents
+
+
+
+
+
+
+
+
+
The function will prefer original names, and only append index to long
+strings.
+
+
Usage
+
unique_short ( data , max = 15 )
+
+
Arguments
+
+
+
data
+character vector
max
+maximum final name length
+
Value
+
character vector
+
+
Examples
+
c ( "kahdleidnsallskdj" , "hej" ) |> unique_short ( ) #> [1] "kahdleidnsall_1" "hej"
+
+
+
+
Ggplot2 data summary visualisation based on visdat::vis_dat. — visual_summary • FreesearchR Skip to contents
+
+
+
+
+
+
+
+
+
Ggplot2 data summary visualisation based on visdat::vis_dat.
+
+
Usage
+
visual_summary ( data , legend.title = "Data class" , ... )
+
+
Arguments
+
+
+
data
+data
...
+optional arguments passed to data_summary_gather()
+
Value
+
ggplot2 object
+
+
Examples
+
data_demo <- mtcars data_demo [ sample ( 1 : 32 , 10 ) , "cyl" ] <- NA data_demo [ sample ( 1 : 32 , 8 ) , "vs" ] <- NA visual_summary ( data_demo ) visual_summary ( data_demo , palette.fun = scales :: hue_pal ( ) ) visual_summary ( dplyr :: storms ) visual_summary ( dplyr :: storms = data_type )
+
+
+
+
setNames ( c ( "id" , "age" , "weight_0" , "weight_1" , "height_1" ) ) |> wide2long ( pattern = c ( "_0" , "_1" ) , type = "suffix" ) #> id age instance weight height#> 1 1 72 0 75 NA#> 2 1 NA 1 70 185#> 3 2 77 0 79 NA#> 4 2 NA 1 86 180#> 5 3 74 0 95 NA#> 6 3 NA 1 91 190#> 7 4 80 0 76 NA#> 8 4 NA 1 82 175#> 9 5 72 0 87 NA#> 10 5 NA 1 91 193#> 11 6 72 0 88 NA#> 12 6 NA 1 95 195#> 13 7 74 0 93 NA#> 14 7 NA 1 75 197#> 15 8 72 0 87 NA#> 16 8 NA 1 81 177#> 17 9 78 0 92 NA#> 18 9 NA 1 78 190#> 19 10 80 0 90 NA#> 20 10 NA 1 70 176#> 21 11 76 0 83 NA#> 22 11 NA 1 93 172#> 23 12 80 0 92 NA#> 24 12 NA 1 91 179#> 25 13 73 0 95 NA#> 26 13 NA 1 70 170#> 27 14 73 0 84 NA#> 28 14 NA 1 98 199#> 29 15 80 0 98 NA#> 30 15 NA 1 79 174#> 31 16 72 0 84 NA#> 32 16 NA 1 82 174#> 33 17 77 0 79 NA#> 34 17 NA 1 88 173#> 35 18 77 0 98 NA#> 36 18 NA 1 77 180#> 37 19 79 0 74 NA#> 38 19 NA 1 81 178#> 39 20 79 0 91 NA#> 40 20 NA 1 80 171#> 1 1 79 0 82 NA#> 2 1 NA 1 75 171#> 3 2 79 0 91 NA#> 4 2 NA 1 93 197#> 5 3 75 0 95 NA#> 6 3 NA 1 95 181#> 7 4 79 0 75 NA#> 8 4 NA 1 97 175#> 9 5 79 0 81 NA#> 10 5 NA 1 77 183#> 11 6 76 0 78 NA#> 12 6 NA 1 90 195#> 13 7 71 0 70 NA#> 14 7 NA 1 76 178#> 15 8 72 0 93 NA#> 16 8 NA 1 72 176#> 17 9 77 0 91 NA#> 18 9 NA 1 79 188#> 19 10 71 0 70 NA#> 20 10 NA 1 70 174#> 21 11 76 0 98 NA#> 22 11 NA 1 99 186#> 23 12 74 0 79 NA#> 24 12 NA 1 74 178#> 25 13 76 0 82 NA#> 26 13 NA 1 74 191#> 27 14 79 0 88 NA#> 28 14 NA 1 73 181#> 29 15 79 0 77 NA#> 30 15 NA 1 80 191#> 31 16 74 0 81 NA#> 32 16 NA 1 78 194#> 33 17 75 0 80 NA#> 34 17 NA 1 71 182#> 35 18 70 0 85 NA#> 36 18 NA 1 97 181#> 37 19 70 0 80 NA#> 38 19 NA 1 79 172#> 39 20 75 0 90 NA#> 40 20 NA 1 71 177data.frame ( 1 : 20 , sample ( 70 : 80 , 20 , TRUE ) , sample ( 70 : 100 , 20 , TRUE ) , setNames ( c ( "id" , "age" , "weight_0" , "weight_a_1" , "height_b_1" ) ) |> wide2long ( pattern = c ( "_0" , "_1" ) , type = "suffix" ) #> id age instance weight weight_a height_b#> 1 1 79 0 78 NA NA#> 2 1 NA 1 NA 78 188#> 3 2 71 0 100 NA NA#> 4 2 NA 1 NA 89 183#> 5 3 71 0 85 NA NA#> 6 3 NA 1 NA 77 188#> 7 4 75 0 95 NA NA#> 8 4 NA 1 NA 94 179#> 9 5 79 0 99 NA NA#> 10 5 NA 1 NA 72 171#> 11 6 78 0 76 NA NA#> 12 6 NA 1 NA 91 185#> 13 7 76 0 74 NA NA#> 14 7 NA 1 NA 90 180#> 15 8 72 0 92 NA NA#> 16 8 NA 1 NA 96 188#> 17 9 74 0 76 NA NA#> 18 9 NA 1 NA 90 193#> 19 10 70 0 76 NA NA#> 20 10 NA 1 NA 99 172#> 21 11 78 0 81 NA NA#> 22 11 NA 1 NA 85 176#> 23 12 75 0 81 NA NA#> 24 12 NA 1 NA 76 199#> 25 13 75 0 100 NA NA#> 26 13 NA 1 NA 94 191#> 27 14 78 0 95 NA NA#> 28 14 NA 1 NA 79 199#> 29 15 72 0 71 NA NA#> 30 15 NA 1 NA 88 192#> 31 16 77 0 89 NA NA#> 32 16 NA 1 NA 95 193#> 33 17 71 0 89 NA NA#> 34 17 NA 1 NA 72 181#> 35 18 76 0 94 NA NA#> 36 18 NA 1 NA 94 197#> 37 19 79 0 88 NA NA#> 38 19 NA 1 NA 82 177#> 39 20 75 0 96 NA NA#> 40 20 NA 1 NA 85 192#> 1 1 71 0 77 NA NA#> 2 1 NA 1 NA 88 190#> 3 2 76 0 94 NA NA#> 4 2 NA 1 NA 79 187#> 5 3 79 0 72 NA NA#> 6 3 NA 1 NA 71 179#> 7 4 75 0 91 NA NA#> 8 4 NA 1 NA 85 196#> 9 5 78 0 90 NA NA#> 10 5 NA 1 NA 80 171#> 11 6 79 0 96 NA NA#> 12 6 NA 1 NA 88 178#> 13 7 76 0 90 NA NA#> 14 7 NA 1 NA 93 188#> 15 8 74 0 99 NA NA#> 16 8 NA 1 NA 72 181#> 17 9 76 0 85 NA NA#> 18 9 NA 1 NA 76 179#> 19 10 76 0 76 NA NA#> 20 10 NA 1 NA 99 193#> 21 11 76 0 94 NA NA#> 22 11 NA 1 NA 91 181#> 23 12 79 0 79 NA NA#> 24 12 NA 1 NA 99 197#> 25 13 71 0 88 NA NA#> 26 13 NA 1 NA 92 194#> 27 14 73 0 95 NA NA#> 28 14 NA 1 NA 93 192#> 29 15 73 0 72 NA NA#> 30 15 NA 1 NA 81 175#> 31 16 78 0 94 NA NA#> 32 16 NA 1 NA 97 177#> 33 17 72 0 82 NA NA#> 34 17 NA 1 NA 77 192#> 35 18 80 0 85 NA NA#> 36 18 NA 1 NA 92 182#> 37 19 78 0 88 NA NA#> 38 19 NA 1 NA 82 199#> 39 20 73 0 83 NA NA#> 40 20 NA 1 NA 89 196# Optional filling of missing values by last observation carried forward # Needed for mmrm analyses long_missings |> Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program. If not, see <\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\",\"<\\/i>\"]}},\"width\":60},{\"header\":\"name\",\"name\":\"name\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_missing\",\"name\":\"n_missing\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"p_complete\",\"name\":\"p_complete\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_unique\",\"name\":\"n_unique\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"vals\",\"name\":\"vals\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}}],\"bodyHeight\":\"fitToParent\",\"draggable\":false,\"usageStatistics\":false,\"contextMenu\":null,\"rowHeight\":\"auto\"},\"theme\":\"clean\",\"themeOptions\":{\"cell\":{\"normal\":{\"showHorizontalBorder\":true}}},\"language\":\"en\",\"languageOptions\":[],\"filters\":false,\"rowAttributes\":[],\"validationInput\":false,\"dataAsInput\":false,\"dragInput\":false},\"evals\":[\"options.columns.1.renderer.type\"],\"jsHooks\":[]}"},{"path":"https://agdamsbo.github.io/FreesearchR/reference/add_sparkline.html","id":null,"dir":"Reference","previous_headings":"","what":"Add sparkline to datagrid — add_sparkline","title":"Add sparkline to datagrid — add_sparkline","text":"Add sparkline datagrid","code":""},{"path":"https://agdamsbo.github.io/FreesearchR/reference/add_sparkline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"add_sparkline( grid, column = \"vals\", color.main = \"#2a8484\", color.sec = \"#84EF84\" )"},{"path":"https://agdamsbo.github.io/FreesearchR/reference/add_sparkline.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add sparkline to datagrid — add_sparkline","text":"grid grid column clumn transform","code":""},{"path":"https://agdamsbo.github.io/FreesearchR/reference/add_sparkline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add sparkline to datagrid — add_sparkline","text":"datagrid","code":""},{"path":"https://agdamsbo.github.io/FreesearchR/reference/add_sparkline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"grid <- mtcars |> default_parsing() |> overview_vars() |> toastui::datagrid() |> add_sparkline() grid {\"x\":{\"nrow\":11,\"ncol\":7,\"data\":[[\"numeric\",\"factor\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"logical\",\"logical\",\"factor\",\"factor\"],[\"numeric\",\"factor\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"logical\",\"logical\",\"factor\",\"factor\"],[\"mpg\",\"cyl\",\"disp\",\"hp\",\"drat\",\"wt\",\"qsec\",\"vs\",\"am\",\"gear\",\"carb\"],[0,0,0,0,0,0,0,0,0,0,0],[1,1,1,1,1,1,1,1,1,1,1],[25,3,27,22,22,29,30,2,2,3,6],[[21,21,22.8,21.4,18.7,18.1,14.3,24.4,22.8,19.2,17.8,16.4,17.3,15.2,10.4,10.4,14.7,32.4,30.4,33.9,21.5,15.5,15.2,13.3,19.2,27.3,26,30.4,15.8,19.7,15,21.4],[\"6\",\"6\",\"4\",\"6\",\"8\",\"6\",\"8\",\"4\",\"4\",\"6\",\"6\",\"8\",\"8\",\"8\",\"8\",\"8\",\"8\",\"4\",\"4\",\"4\",\"4\",\"8\",\"8\",\"8\",\"8\",\"4\",\"4\",\"4\",\"8\",\"6\",\"8\",\"4\"],[160,160,108,258,360,225,360,146.7,140.8,167.6,167.6,275.8,275.8,275.8,472,460,440,78.7,75.7,71.09999999999999,120.1,318,304,350,400,79,120.3,95.09999999999999,351,145,301,121],[110,110,93,110,175,105,245,62,95,123,123,180,180,180,205,215,230,66,52,65,97,150,150,245,175,66,91,113,264,175,335,109],[3.9,3.9,3.85,3.08,3.15,2.76,3.21,3.69,3.92,3.92,3.92,3.07,3.07,3.07,2.93,3,3.23,4.08,4.93,4.22,3.7,2.76,3.15,3.73,3.08,4.08,4.43,3.77,4.22,3.62,3.54,4.11],[2.62,2.875,2.32,3.215,3.44,3.46,3.57,3.19,3.15,3.44,3.44,4.07,3.73,3.78,5.25,5.424,5.345,2.2,1.615,1.835,2.465,3.52,3.435,3.84,3.845,1.935,2.14,1.513,3.17,2.77,3.57,2.78],[16.46,17.02,18.61,19.44,17.02,20.22,15.84,20,22.9,18.3,18.9,17.4,17.6,18,17.98,17.82,17.42,19.47,18.52,19.9,20.01,16.87,17.3,15.41,17.05,18.9,16.7,16.9,14.5,15.5,14.6,18.6],[false,false,true,true,false,true,false,true,true,true,true,false,false,false,false,false,false,true,true,true,true,false,false,false,false,true,false,true,false,false,false,true],[true,true,true,false,false,false,false,false,false,false,false,false,false,false,false,false,false,true,true,true,false,false,false,false,false,true,true,true,true,true,true,true],[\"4\",\"4\",\"4\",\"3\",\"3\",\"3\",\"3\",\"4\",\"4\",\"4\",\"4\",\"3\",\"3\",\"3\",\"3\",\"3\",\"3\",\"4\",\"4\",\"4\",\"3\",\"3\",\"3\",\"3\",\"3\",\"4\",\"5\",\"5\",\"5\",\"5\",\"5\",\"4\"],[\"4\",\"4\",\"1\",\"1\",\"2\",\"1\",\"4\",\"2\",\"2\",\"4\",\"4\",\"3\",\"3\",\"3\",\"4\",\"4\",\"4\",\"1\",\"2\",\"1\",\"1\",\"2\",\"2\",\"4\",\"2\",\"1\",\"2\",\"2\",\"4\",\"6\",\"8\",\"2\"]]],\"colnames\":[\"icon\",\"class\",\"name\",\"n_missing\",\"p_complete\",\"n_unique\",\"vals\"],\"options\":{\"columns\":[{\"header\":\"icon\",\"name\":\"icon\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"class\",\"name\":\"class\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"name\",\"name\":\"name\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_missing\",\"name\":\"n_missing\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"p_complete\",\"name\":\"p_complete\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_unique\",\"name\":\"n_unique\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"vals\",\"name\":\"vals\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"},\"type\":\"datagrid.renderer.htmlwidgets\",\"options\":{\"rendered\":[\" <\\/div>\\n
