head(_DATANAME_)
tbl_1var(_DATANAME_, ~_VARIABLE_, na_rm = TRUE)
tbl_num_sum(_DATANAME_, ~_VARIABLE_, na_rm = TRUE)
plot_hist(_DATANAME_, ~_VARIABLE_)
pnorm(_X_, _MEAN_, _STANDARDDEVIATION_)
infer_1mean_int(_DATANAME_, ~_VARIABLE_, conf_lvl = _CONFIDENCELEVEL_)
tbl_num_sum(_DATANAME_, _RESPONSE_~_GROUPVARIABLE_, na_rm = TRUE)
infer_2mean_test(_DATANAME_, _VARIABLE_~_GROUPVARIABLE_)
Note: Confidence levels default to 95% but can be overridden with
conf_lvl = _DECIMAL_ (e.g.,
conf_lvl = 0.90).
infer_paired(_DATANAME_, var1 = ~_VARIABLE1_, var2 = ~_VARIABLE2_, conf_lvl = _CONFIDENCELEVEL_)