Stikpet Packages and Functions
For many statistical analysis I made my own function. Functions for Excel (via VBA), Python and R. I'm currently working on creating a package/add-in for these.
You can follow the progress on my github account.
Documentation for the Python library stikpetP can be found here.
A pdf for the R library stikpetR can be downloaded here.
The Excel functions are the same as those in the Python and R libraries, so you can refer to the documentation of those. Instead of a 'dataframe' or 'pandas series' a range of cells should then be used. The Excel version also does not have functions for the visualisation, Excel itself can do these usually relatively easy. See the rest of this website for specific examples.
Examples of using the library/add-in for analysis are available below (click on the analysis to reveal the different stikpet libraries)
Analysing a Single Binary Variable
with stikpetE (Excel add-in)
Excel file used in video is available here.
with stikpetP (Python library)
Jupyter Notebook used in video is available here.
with stikpetR (R package)
Jupyter Notebook used in video is available here.
Analysing a Single Nominal Variable
with stikpetE (Excel add-in)
Excel file used in video is available here.
with stikpetP (Python library)
Jupyter Notebook used in video is available here.
with stikpetR (R package)
Jupyter Notebook used in video is available here.
Analysing a Single Ordinal Variable
with stikpetE (Excel add-in)
Excel file used in video is available here.
with stikpetP (Python library)
Jupyter Notebook used in video is available here.
with stikpetR (R package)
Jupyter Notebook used in video is available here.
Version 0.0.2.
This version has all the functions for basic univariate statistics. It has the following functions:
Correlations
- r_rank_biserial_os()
- r_rosenthal()
Effect sizes
- es_convert()
- es_alt_ratio()
- es_cohen_d_os()
- es_cohen_g()
- es_cohen_h_os()
- es_cohen_w()
- es_cramer_v_gof()
- es_dominance()
- es_hedges_g_os()
- es_jbm_e()
Measures
- me_concensus()
- me_mean()
- me_median()
- me_mode()
- me_mode_bin()
- me_quantiles()
- me_quartile_range()
- me_quartiles()
- me_qv()
- me_variation()
- me_variation_ratio()
Other Functions
- ph_binomial()
- tab_frequency()
- tab_frequency_bins()
- tab_nbins()
- th_cohen_d()
- th_cohen_g()
- th_cohen_h()
- th_cohen_w()
- th_pearson_r()
Tests
- ts_binomial_os()
- ts_freeman_tukey_gof
- ts_freeman_tukey_read()
- ts_g_gof()
- ts_mod_log_likelihood_gof()
- ts_multinomial_gof()
- ts_neyman_gof()
- ts_pearson_gof()
- ts_powerdivergence_gof()
- ts_score_os()
- ts_sign_os()
- ts_student_t_os()
- ts_trimmed_mean_os()
- ts_trinomial_os()
- ts_wald_os()
- ts_wilcoxon_os()
- ts_z_os()
Visualisations
- vi_bar_dual_axis()
- vi_bar_simple()
- vi_bar_stacked_single()
- vi_boxplot_single()
- vi_cleveland_dot_plot
- vi_dot_plot()
- vi_histogram()
- vi_pareto_chart()
- vi_pie()
Google adds