Scatter plot server function
scatterplot_server.Rd
Input dataframes:
bm_dataset
It expects a dataset similar to https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192 , 1 record per subject per parameter per analysis visit
It expects, at least, the columns passed in the parameters, subjid_var
, cat_var
, par_var
,
visit_var
and value_var
. The values of these variables are as described
in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
Usage
scatterplot_server(
id,
bm_dataset,
group_dataset,
dataset_name = shiny::reactive(character(0)),
cat_var = "PARCAT",
par_var = "PARAM",
value_vars = "AVAL",
visit_var = "AVISIT",
subjid_var = "USUBJID",
default_x_cat = NULL,
default_x_par = NULL,
default_x_value = NULL,
default_x_visit = NULL,
default_y_cat = NULL,
default_y_par = NULL,
default_y_value = NULL,
default_y_visit = NULL,
default_group = NULL,
default_color = NULL,
compute_lm_cor_fn = sp_compute_lm_cor_default
)
Arguments
- bm_dataset, group_dataset
[data.frame()]
Dataframes as described in the
Input dataframes
section- dataset_name
[shiny::reactive(*)]
a reactive indicating when the dataset has possibly changed its columns
- cat_var, par_var, visit_var
[character(1)]
Columns from
bm_dataset
that correspond to the parameter category, parameter and visit- value_vars
[character(n)]
Columns from
bm_dataset
that correspond to values of the parameters- subjid_var
[character(1)]
Column corresponding to subject ID
- default_x_cat, default_x_par, default_x_visit, default_x_value, default_y_cat, default_y_par
[character(1)|NULL]
Default values for the selectors
- default_y_visit, default_y_value, default_group, default_color
[character(1)|NULL]
Default values for the selectors
- compute_lm_cor_fn
[function()]
Function used to compute the linear regression model and correlation statistics, please view the corresponding vignette for more details.