Hypothesis tests and confidence intervals
inference(y, x = NULL, data, type = c("ci", "ht"), statistic = c("mean", "median", "proportion"), success = NULL, order = NULL, method = c("theoretical", "simulation"), null = NULL, alternative = c("less", "greater", "twosided"), sig_level = 0.05, conf_level = 0.95, boot_method = c("perc", "se"), nsim = 15000, seed = NULL, verbose = TRUE, show_var_types = verbose, show_summ_stats = verbose, show_eda_plot = verbose, show_inf_plot = verbose, show_res = verbose)
y | Response variable, can be numerical or categorical |
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x | Explanatory variable, categorical (optional) |
data | Name of data frame that y and x are in |
type | of inference; "ci" (confidence interval) or "ht" (hypothesis test) |
statistic | parameter to estimate: mean, median, or proportion |
success | which level of the categorical variable to call "success", i.e. do inference on |
order | when x is given, order of levels of x in which to subtract parameters |
method | of inference; "theoretical" (CLT based) or "simulation" (randomization/bootstrap) |
null | null value for a hypothesis test |
alternative | direction of the alternative hypothesis; "less","greater", or "twosided" |
sig_level | significance level, value between 0 and 1 (used only for ANOVA to determine if posttests are necessary) |
conf_level | confidence level, value between 0 and 1 |
boot_method | bootstrap method; "perc" (percentile) or "se" (standard error) |
nsim | number of simulations |
seed | seed to be set, default is NULL |
verbose | whether output should be verbose or not, default is TRUE |
show_var_types | print variable types, set to verbose by default |
show_summ_stats | print summary stats, set to verbose by default |
show_eda_plot | print EDA plot, set to verbose by default |
show_inf_plot | print inference plot, set to verbose by default |
show_res | print results, set to verbose by default |
Results of inference task performed