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Changelog

Source: NEWS.md

adlgraphs 0.3.6

added two new functions row_means() and make_nested()

row_means
  • This allows you to calculate row means
make_nested
  • This produces a nested data frame
Fixing some bugs in get_corr()

  • Previously get_corr() had some bugs that have been fixed.

  • Also added the ability to group by multiple variables

adlgraphs 0.3.53

added a new function flip_val() and updated a vignette

flip_val
  • This allows you to flip the valence of a variable
updated the vignette for data_transformations
  • Simplified the vignette and added information about flip_val()

adlgraphs 0.3.52

Added a new function set_question_preface()

  • Allows you to set the question preface and update the variable label

adlgraphs 0.3.51

Updated an existing function

get_diffs
  • Added two new arguments, show_means, and show_pct_change.

Updated the documentation for most function

  • Added a return value for most functions

adlgraphs 0.3.5

Create a new function

get_diffs
  • This function calculates the difference in means.

adlgraphs 0.3.42

added an additional argument to make_factor()

  • I added a new argument that allows you to specify the levels. This is not fully implemented yet, however.

adlgraphs 0.3.41

created an experimental function and updated another

funky_freqs
  • This is an experimental function that will hopefully become the basis for get_freqs as it is three times as fast.
get_loadings
  • Adding an argument that sorts the data

adlgraphs 0.3.4

created a new function and updated another

get_all corr
  • This function makes it easy to get the correlations for all variables in a data set.
Decently big changes to dunnet
  • Added new functionality so that data can be grouped before performing dunnet() and improved the group argument to include functionality for grouping by multiple variables.

adlgraphs 0.3.3

created two new functions

flatten_labelled_vec
  • Flatten a labelled vector. or example if a vector has values 1 and 0 where 1 is “Yes” and 0 is “No”, it will output a string that reads: 1 = "Yes", 0 = "No".
remove_bot_dupe, get_bot_dupe, and export_bot_dupe
  • These three functions make it easy to remove bots and duplicates, remove all non-bots and duplicates, and export all bots and duplicates.

adlgraphs 0.3.3

Created a new function

get_corr
  • Calculate weighted correlations among each level of a group

adlgraphs 0.3.2

Created a new function

dunnett
  • Perform Dunnett’s multiple comparisons test

adlgraphs 0.3.1

A bunch of new functions

attr_var_label
  • Get variable label for vectors and dataframes
attr_val_label
  • Get value labels for vectors and dataframes
attr_levels
  • Get factor levels for vectors and dataframes
attr_note
  • Get note attribute for vectors and dataframes
attr_survey_flow
  • Get survey_flow attribute for vectors and dataframes
attr_question_preface
  • Get question_preface attribute for vectors and dataframes
attr_transformation
  • get transformation attribute for vectors and dataframes

adlgraphs 0.2.4

Minor addition

adl_bar_plots
  • Added new argument that enables wrapping facet labels.

adlgraphs 0.2.3

This update mainly consisted of bug fixes

make_factor
  • Did not work with factor or character vectors so updated
  • With factor vectors now just returns the factor vector
  • With character vectors converts it to a factor
prettytable
  • Fixed a bug that returned the variable name instead of variable labels

adlgraphs 0.2.2

New functions

make_factor
  • This function takes a labelled vector and uses the value labels to turn it into a factor
  • contains two arguments: x and ordered

Bug fixes and small additions

pivot_longer_values
  • Added a new argument that enables you to add a variable label to the variable that contains the names (names_to)
  • Using internal functions to reduce external dependencies
attr_var_label
  • Updated the internal code so that it only gives you the attribute under “label”
  • Previously if “label” was NULL, it would give you the values in “labels”

adlgraphs 0.2.1

This update features a lot of new changes:

New functions

codebook
  • This function allows you to create a new data.frame object where each column is a different attribute and each row is a different variable
  • Contains one argument: df
prettytable
  • Add this function after using get_freqs() to make a pretty gt table
  • Contains one argument: x
  • Hoping to continue building this out for means, coefficients, and possibly more
refactor
  • This allows you to reorder the levels of a factor variable
  • Contains one argument: x
stat_density_quant
  • Create a density plot with quantile lines
  • Has a bunch of arguments: mapping, data, geom, position, ..., bw, adjust, kernel, n, na.rm, bounds, show.legend, inherit.aes, quantile_lines, calc_ecdf, quantiles
  • This may still be buggy and I still need to create the accompanying geom

adlgraphs 0.2.0

This update includes a bunch of new features and bug fixes. Some of the underlying code has also been updated to be more modular by replacing repetitive code with internal helper functions.

New functions

get_means
  • This function makes it easy to calculate means with confidence intervals.
  • It contains four arguments: df, x, group, and wt
  • The most important argument is group as it allows you to calculate means by a grouping variable. It operates similar to the .by argument in some dplyr functions.
get_freqs
  • This makes it easy to calculate weighted frequencies.
  • It contains the same first four arguments as get_means but also contains a fifth argument, cross_tab. By setting cross_tab = TRUE you pivot the table so that it appears like most cross tabs.
make_percent
  • Add the % symbol to a numeric vector and as a result convert to a character vector
  • Contains three arguments: x, digits, and scale
    • Digits specifies how many decimal places the percentage should be rounded to
    • Scale determines by what scale the numeric vector values should be multiplied
make_df_oxy
  • This is a simple function that makes it easier to create documentation for data sets by leveraging the underlying variable labels in the dataset

Bug fixes and new features

get_freq_table
  • Now all arguments accept either strings or symbols, making it easier to use with functional programming
  • It also contains a new argument show_genpop which enables you to determine whether you want a column showing the frequencies for the general population or not.
adl_bar_plots
  • Fixed a bug where mean plots didn’t work in a dodged vertical charts.