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] 0.11 0.12 0.40 0.50 0.80 0.90 1.00 1.11 1.25 2.00 2.50 8.00 9.00#> [1] 0.10 0.12 0.25 0.50 0.90 1.00 1.11 2.00 4.00 8.00 10.00
On this page
diff --git a/reference/data-missings.html b/reference/data-missings.html
index a257ee14..0c6308cd 100644
--- a/reference/data-missings.html
+++ b/reference/data-missings.html
@@ -1,7 +1,5 @@
-Data correlations evaluation module — data-missings • FreesearchR Data correlations evaluation module — data-missings • FreesearchR Skip to contents
@@ -39,22 +37,19 @@ Data correlations evaluation module">
Data correlations evaluation module
-
Data correlations evaluation module
Usage
data_missings_ui ( id ) data_missings_server ( id , data , variable , ... ) visual_summary_ui ( id )
+
data_missings_server ( id , data , variable , ... )
@@ -77,7 +72,6 @@ Data correlations evaluation module">
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
deleted file mode 100644
index 1f3c7987..00000000
--- a/reference/data_summary_gather.html
+++ /dev/null
@@ -1,139 +0,0 @@
-
-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: 0x55d350aecab0>#> <bytecode: 0x55b570a8c338>#> <environment: namespace:stats>
- FreesearchR_palette()
- Use the FreesearchR colors
-
-
add_class_icon()
@@ -196,7 +190,7 @@
Test app for the data-import module
- data_missings_ui() data_missings_server() visual_summary_ui() data_missings_ui() data_missings_server()
Data correlations evaluation module
@@ -220,12 +214,6 @@
Ultra short data dascription
- data_summary_gather()
- Data summary for printing visual summary
-
-
data_type()
@@ -628,12 +616,6 @@
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()
@@ -664,12 +646,6 @@
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 6ac9733e..781a6495 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] "ccfegibgccehdajdebji\nfdbcgbacigaffbaadgba\ndedhfcjeaifgdbjhieac\naggajagdfeediafjfibb\njihdhegiebfajgf\n"#> [1] "iccfegibgccehdajdebj\nhfdbcgbacigaffbaadgb\nbdedhfcjeaifgdbjhiea\naaggajagdfeediafjfib\nfjihdhegiebfajg\n"On this page
diff --git a/reference/missings_apex_plot.html b/reference/missings_apex_plot.html
index b882cfb2..5a187b02 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 @@
@@ -68,14 +68,35 @@
data_demo <- mtcars data_demo [ 2 : 4 , "cyl" ] <- NA rbind ( data_demo , data_demo , data_demo , data_demo ) |> missings_apex_plot ( )
-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’#> 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 )
On this page
diff --git a/reference/unique_short.html b/reference/unique_short.html
deleted file mode 100644
index ce5ba619..00000000
--- a/reference/unique_short.html
+++ /dev/null
@@ -1,98 +0,0 @@
-
-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 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 71 177#> 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 171data.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 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#> 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# 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 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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 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<\\/div>\\n
