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.
