removed

NEWS.md

@@ -2,6 +2,9 @@
 
 - *NEW*: Added a variables type filter to easily exclude unwanted types. This also includes having data type rather than data class in the summary table. Will evaluate. Types are a simpler, more practical version of the *R* data class to easy interpretation.
 
+- *NEW*: A logo is here! It should emphasize the underlying reliance on *R* while also inspire to explore.
+
+- *IMPROVED*: docs are updated and much more comprehensive. They will be continuously updated.
 
 # FreesearchR 25.4.2
 

README.md

@@ -1,4 +1,4 @@
-# FreesearchR <img style="float: right;" src="logo-text-white-250.png">
+# FreesearchR <a href="https://agdamsbo.github.io/FreesearchR/"><img src="man/figures/logo.png" align="right" height="70" alt="FreesearchR website" /></a>
 
 <!-- badges: start -->
 [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
@@ -43,10 +43,12 @@ Please note that the ***FreesearchR*** project is released with a [Contributor C
 
 Like any other project, this project was never possible without the great work of others. These are some of the sources and packages I have used:
 
--   The ***FreesearchR*** app is build with [Shiny](https://shiny.posit.co/) and based on (*R*)[https://www.r-project.org/].
+-   The ***FreesearchR*** app is build with [Shiny](https://shiny.posit.co/) and based on [*R*](https://www.r-project.org/).
 
 -   [gtsummary](https://www.danieldsjoberg.com/gtsummary/): superb and flexible way to create publication-ready analytical and summary tables.
 
 -   [dreamRs](https://github.com/dreamRs): maintainers of a broad selection of great extensions and tools for [Shiny](https://shiny.posit.co/).
 
+-   [easystats](https://easystats.github.io/easystats/): the [`performance::check_model()`](https://easystats.github.io/performance/articles/check_model.html) function was central in sparking the idea to create a data analysis tool.
+
 This project was all written by a human and not by any AI-based tools.

SESSION.md

@@ -40,12 +40,13 @@
 |class         |7.3-23        |2025-01-01 |CRAN (R 4.4.1) |
 |classInt      |0.4-11        |2025-01-08 |CRAN (R 4.4.1) |
 |cli           |3.6.4         |2025-02-13 |CRAN (R 4.4.1) |
+|clipr         |0.8.0         |2022-02-22 |CRAN (R 4.4.1) |
 |colorspace    |2.1-1         |2024-07-26 |CRAN (R 4.4.1) |
 |commonmark    |1.9.5         |2025-03-17 |CRAN (R 4.4.1) |
 |correlation   |0.8.7         |2025-03-03 |CRAN (R 4.4.1) |
 |crayon        |1.5.3         |2024-06-20 |CRAN (R 4.4.1) |
-|credentials   |2.0.2         |2024-10-04 |CRAN (R 4.4.1) |
 |crosstalk     |1.2.1         |2023-11-23 |CRAN (R 4.4.0) |
+|curl          |6.2.2         |2025-03-24 |CRAN (R 4.4.1) |
 |data.table    |1.17.0        |2025-02-22 |CRAN (R 4.4.1) |
 |datamods      |1.5.3         |2024-10-02 |CRAN (R 4.4.1) |
 |datawizard    |1.0.2         |2025-03-24 |CRAN (R 4.4.1) |
@@ -65,10 +66,8 @@
 |fastmap       |1.2.0         |2024-05-15 |CRAN (R 4.4.1) |
 |fontawesome   |0.5.3         |2024-11-16 |CRAN (R 4.4.1) |
 |forcats       |1.0.0         |2023-01-29 |CRAN (R 4.4.0) |
-|FreesearchR   |25.4.3        |NA         |NA             |
 |fs            |1.6.6         |2025-04-12 |CRAN (R 4.4.1) |
 |generics      |0.1.3         |2022-07-05 |CRAN (R 4.4.1) |
-|gert          |2.1.5         |2025-03-25 |CRAN (R 4.4.1) |
 |ggplot2       |3.5.2         |2025-04-09 |CRAN (R 4.4.1) |
 |glue          |1.8.0         |2024-09-30 |CRAN (R 4.4.1) |
 |gt            |1.0.0         |2025-04-05 |CRAN (R 4.4.1) |
@@ -85,11 +84,13 @@
 |jquerylib     |0.1.4         |2021-04-26 |CRAN (R 4.4.0) |
 |jsonlite      |2.0.0         |2025-03-27 |CRAN (R 4.4.1) |
 |KernSmooth    |2.23-26       |2025-01-01 |CRAN (R 4.4.1) |
+|keyring       |1.3.2         |2023-12-11 |CRAN (R 4.4.0) |
 |knitr         |1.50          |2025-03-16 |CRAN (R 4.4.1) |
 |later         |1.4.2         |2025-04-08 |CRAN (R 4.4.1) |
 |lattice       |0.22-7        |2025-04-02 |CRAN (R 4.4.1) |
 |lifecycle     |1.0.4         |2023-11-07 |CRAN (R 4.4.1) |
 |lme4          |1.1-37        |2025-03-26 |CRAN (R 4.4.1) |
+|magick        |2.8.6         |NA         |NA             |
 |magrittr      |2.0.3         |2022-03-30 |CRAN (R 4.4.1) |
 |MASS          |7.3-65        |2025-02-28 |CRAN (R 4.4.1) |
 |Matrix        |1.7-3         |2025-03-11 |CRAN (R 4.4.1) |
@@ -103,6 +104,7 @@
 |nloptr        |2.2.1         |2025-03-17 |CRAN (R 4.4.1) |
 |openssl       |2.3.2         |2025-02-03 |CRAN (R 4.4.1) |
 |openxlsx2     |1.14          |2025-03-20 |CRAN (R 4.4.1) |
+|pak           |0.8.0.2       |2025-04-08 |CRAN (R 4.4.1) |
 |parameters    |0.24.2        |2025-03-04 |CRAN (R 4.4.1) |
 |patchwork     |1.3.0         |2024-09-16 |CRAN (R 4.4.1) |
 |performance   |0.13.0        |2025-01-15 |CRAN (R 4.4.1) |
@@ -110,6 +112,7 @@
 |pillar        |1.10.2        |2025-04-05 |CRAN (R 4.4.1) |
 |pkgbuild      |1.4.7         |2025-03-24 |CRAN (R 4.4.1) |
 |pkgconfig     |2.0.3         |2019-09-22 |CRAN (R 4.4.1) |
+|pkgdown       |2.1.1         |2024-09-17 |CRAN (R 4.4.1) |
 |pkgload       |1.4.0         |2024-06-28 |CRAN (R 4.4.0) |
 |processx      |3.8.6         |2025-02-21 |CRAN (R 4.4.1) |
 |profvis       |0.4.0         |2024-09-20 |CRAN (R 4.4.1) |
@@ -146,7 +149,6 @@
 |shinyTime     |1.0.3         |2022-08-19 |CRAN (R 4.4.0) |
 |shinyWidgets  |0.9.0         |2025-02-21 |CRAN (R 4.4.1) |
 |stringi       |1.8.7         |2025-03-27 |CRAN (R 4.4.1) |
-|sys           |3.4.3         |2024-10-04 |CRAN (R 4.4.1) |
 |tibble        |3.2.1         |2023-03-20 |CRAN (R 4.4.0) |
 |tidyr         |1.3.1         |2024-01-24 |CRAN (R 4.4.1) |
 |tidyselect    |1.2.1         |2024-03-11 |CRAN (R 4.4.0) |
@@ -156,7 +158,6 @@
 |usethis       |3.1.0         |2024-11-26 |CRAN (R 4.4.1) |
 |vctrs         |0.6.5         |2023-12-01 |CRAN (R 4.4.0) |
 |vroom         |1.6.5         |2023-12-05 |CRAN (R 4.4.0) |
-|whisker       |0.4.1         |2022-12-05 |CRAN (R 4.4.1) |
 |withr         |3.0.2         |2024-10-28 |CRAN (R 4.4.1) |
 |writexl       |1.5.4         |2025-04-15 |CRAN (R 4.4.1) |
 |xfun          |0.52          |2025-04-02 |CRAN (R 4.4.1) |

inst/apps/FreesearchR/app.R

@@ -9018,7 +9018,7 @@ server <- function(input, output, session) {
       rv$data_original <- temp_data |>
         default_parsing()
 
-      rv$code$import <- list(
+      rv$code$import_print <- list(
         rv$code$import,
         rlang::expr(dplyr::select(dplyr::all_of(!!input$import_var))),
         rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
@@ -9304,7 +9304,7 @@ server <- function(input, output, session) {
   # })
 
   output$code_import <- shiny::renderUI({
-    prismCodeBlock(paste0("#Data import\n", rv$code$import))
+    prismCodeBlock(paste0("#Data import\n", rv$code$import_print))
   })
 
   output$code_data <- shiny::renderUI({

inst/apps/FreesearchR/rsconnect/shinyapps.io/agdamsbo/freesearcheR.dcf

@@ -5,6 +5,6 @@ account: agdamsbo
 server: shinyapps.io
 hostUrl: https://api.shinyapps.io/v1
 appId: 13611288
-bundleId: 10156735
+bundleId: 10164419
 url: https://agdamsbo.shinyapps.io/freesearcheR/
 version: 1

inst/apps/FreesearchR/server.R

@@ -189,7 +189,7 @@ server <- function(input, output, session) {
       rv$data_original <- temp_data |>
         default_parsing()
 
-      rv$code$import <- list(
+      rv$code$import_print <- list(
         rv$code$import,
         rlang::expr(dplyr::select(dplyr::all_of(!!input$import_var))),
         rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
@@ -475,7 +475,7 @@ server <- function(input, output, session) {
   # })
 
   output$code_import <- shiny::renderUI({
-    prismCodeBlock(paste0("#Data import\n", rv$code$import))
+    prismCodeBlock(paste0("#Data import\n", rv$code$import_print))
   })
 
   output$code_data <- shiny::renderUI({

vignettes/FreesearchR.Rmd

@@ -69,13 +69,13 @@ This is the panel to get a good overview of your data, check data is classed and
 
 Here, the data variables can be inspected with a simple visualisation and a few key measures. Also, data filtering is available at two levels: 
 
-   - Data type filtering allows to filter by variable [data type]()
+   - Data type filtering allows to filter by variable [data type](https://agdamsbo.github.io/FreesearchR/articles/data-types.html)
    
    - Observations level filtering allow to filter data by variable
 
 ### Modify
 
-
+Re-class, rename, and relabel variables. Subset data, create new variables and reorder factor levels. Also, compare the modified dataset to the original and restore the original data.
 
 ## Evaluate
 
@@ -111,7 +111,7 @@ c("continuous", "dichotomous", "categorical") |>
   }) |> 
   dplyr::bind_rows() |> 
   # toastui::datagrid(filters=TRUE,theme="striped") |> 
-  kableExtra::kable()
+  knitr::kable()
 ```
 
 Export the plots directly from the sidebar with easily adjusted plot dimensions for your next publication.
@@ -140,7 +140,7 @@ c("continuous", "dichotomous", "categorical") |>
   }) |> 
   dplyr::bind_rows() |> 
   # toastui::datagrid(filters=TRUE,theme="striped") |> 
-  kableExtra::kable()
+  knitr::kable()
 ```
 
 ### Table

vignettes/data-types.Rmd

@@ -28,7 +28,7 @@ data_types() |> purrr::imap(\(.x,.i){
   dplyr::bind_cols("type"=.i,.x,.name_repair = "unique_quiet")
   }) |> dplyr::bind_rows() |> 
   setNames(c("Data type","Description","Data classes included")) |> 
-  kableExtra::kable()
+  knitr::kable()
 ```
 
 Categorising data in this way makes sense when making choices on how to evaluate and analyse data. This is used throughout the ***FreesearchR*** app to simplify data handling.