#tinytable — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tinytable, aggregated by home.social.
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Anyone a suggestion on how to reduce font size in an #rstats #tinytable notes? With `tinytable::style_tt(fontsize = 0.8)` the font size of the font in the table gets smaller, but not the notes. It is for in a #quarto to #typst. Thanks!
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CW: unpopular opinion about Tidyverse
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
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CW: unpopular opinion about Tidyverse
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
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CW: unpopular opinion about Tidyverse
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
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CW: unpopular opinion about Tidyverse
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
-
CW: unpopular opinion about Tidyverse
@kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.
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This will (hopefully :) ) make table polishing in #quarto #rstats #typst so much more easy: #tinytable in vincentarelbundock.github.io/tinytable/vi...
vincentarelbundock.github.io/tinytable/vign... -
@granmogul @emjonaitis I summarised possibilities to export #rstats #tables to Word / Excel here: https://www.adrianbruegger.com/post/quick-descriptive-tables/
#tinytable is a new package that also sounds promising
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@granmogul @emjonaitis I summarised possibilities to export #rstats #tables to Word / Excel here: https://www.adrianbruegger.com/post/quick-descriptive-tables/
#tinytable is a new package that also sounds promising
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@granmogul @emjonaitis I summarised possibilities to export #rstats #tables to Word / Excel here: https://www.adrianbruegger.com/post/quick-descriptive-tables/
#tinytable is a new package that also sounds promising
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@granmogul @emjonaitis I summarised possibilities to export #rstats #tables to Word / Excel here: https://www.adrianbruegger.com/post/quick-descriptive-tables/
#tinytable is a new package that also sounds promising
-
@granmogul @emjonaitis I summarised possibilities to export #rstats #tables to Word / Excel here: https://www.adrianbruegger.com/post/quick-descriptive-tables/
#tinytable is a new package that also sounds promising