tabledown: Produce Publication Quality Tables and Plots
In m-a-siraji/BAAP: Create Publication Quality Tables and Plots

tabledown

R Documentation

Produce Publication Quality Tables and Plots

The tabledown package provides necessary data frames used throughout the book and some neat functions.

Rotter: Psychometric validation data of Bangla Rotter's Internal- External Scale.
Gantt and Spot: Two sample data-frames for creating project management Gantt chart.
FFMQ.CFA: Structural Validation data of Bangla Five Factor Mindfulness Questionnaire.
FFMQ.Val:Correlational Validity evidences of Bangla Five Factor Mindfulness Questionnaire.

This packages includes some neat and useful functions to create tables and figures suitable for journal submission:

fac.tab(): Creates a publication ready table from the output of "psych" package based factor analysis.
des.tab(): Creates a publication ready descriptive table of Item analysis with the reporting of normality assumptions.
normality.loop(): Compute normality test on the whole data frame. No grouping variable required.
bedTime(): Calculate total time spent in bed from the sleep log entry.
cfa.tab():Creates a table with necessary fit indices from a "lavaan" class objects.
cfa.tab/multi():creates a table with necessary fit indices from several lavaan class objects.
ggicc: Creates a ggplot2 based publication ready Item Characteristics Curve from the "mirt" package based item response theory estimations.
ggiteminfo: Creates a ggplot2 based publication ready Item Information Curve from the "mirt" package based item response theory estimations.
ggtestinfo: Creates a ggplot2 based publication ready Test Information Curve from the "mirt" package based item response theory estimations.
ggtestinfo_se: Creates a ggplot2 based publication ready Test Information Curve with standard error from the "mirt" package based item response theory estimations. It is advisable that you load tidyverse along with tabledown