View source: R/quealy_subgroups.R
quealy_subgroups | R Documentation |
kevin quealy of the nytimes did a nice job capturing change in the general population vs change in specific subgroups: http://nyti.ms/1tQrOIl re: obamacare. let's do the same thing for change in RIT score.
quealy_subgroups(mapvizieR_obj, studentids, measurementscale,
subgroup_cols = c("starting_quartile"),
pretty_names = c("Starting Quartile"), magic_subgroups = TRUE,
start_fws, start_year_offset, end_fws, end_academic_year,
start_fws_prefer = NA, report_title = NA, complete_obsv = TRUE,
drop_NA_groups = TRUE, include_all = TRUE, small_n_cutoff = -1,
join_by_measurementscale = FALSE, school_growth_norms = 2015)
mapvizieR_obj |
mapvizieR object |
studentids |
target students |
measurementscale |
target subject |
subgroup_cols |
what subgroups in mapvizier roster do you want to cut by? default is starting_quartile |
pretty_names |
nicely formatted names for the column cuts used above. |
magic_subgroups |
generated by mapvizieR. possible values include: 'starting_quartile' |
start_fws |
one academic season (if known); pass vector of two and quealy subgroups will pick |
start_year_offset |
0 if start season is same, -1 if start is prior year. |
end_fws |
ending season |
end_academic_year |
ending academic year |
start_fws_prefer |
which term is preferred? not required if only one start_fws is passed |
report_title |
text grob to put on the report tile |
complete_obsv |
if TRUE, limit only to students who have BOTH a start and end score. default is TRUE. |
drop_NA_groups |
should we ignore subgroups with value NA? default is true |
include_all |
should the output have plot at the top showing the TOTAL variation? not recommended for data spanning multiple grade levels. |
small_n_cutoff |
drop a subgroup if less than x (useful for cutting off the long tail of a group). applies to all subgroups in subgroup_cols. does not apply to magic subgroups. |
join_by_measurementscale |
boolean, passed to roster_to_growth_df. TRUE if the subgroup col is per-subject. |
school_growth_norms |
passed through to calc_cgp. determines what norm study to use. default is 2015 (most recent study). |
a grob composed of multiple ggplots
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.