The raw dataset is presented below:
- - + +Read in the DM domain
+ +Read in the DM domain
dm <- read.csv(system.file("raw_data/dm.csv",
package = "sdtm.oak"
@@ -208,8 +208,8 @@ Read in CT<
study_ct <- read.csv(system.file("raw_data/sdtm_ct.csv",
package = "sdtm.oak"
))
The CMGRPID is added to the corresponding CMTRT based on the +
+The CMGRPID is added to the corresponding CMTRT based on the ‘oak_id_vars’. When calling the function, the parameter ‘id_vars = oak_id_vars()’ matches the raw dataset ‘oak_id_vars’ to the ‘oak_id_vars’ in the cm domain created in the previous step. It’s @@ -283,8 +283,8 @@
The condition_add function adds additional metadata to
+
The condition_add function adds additional metadata to
the records in the raw dataset that meets the condition. Refer to the
function documentation for more details. hardcode_ct
function uses the additional metadata to find the records that meet the
@@ -363,8 +363,8 @@
Remember to use additional curly braces in the function call when +
+Remember to use additional curly braces in the function call when
using the condition_add function on the target dataset.
This is necessary because the input target dataset is represented as a
. and is passed on from the previous step using the
@@ -452,8 +452,8 @@
Another way to achieve the same outcome is by moving the +
+Another way to achieve the same outcome is by moving the
‘condition_by’ call up one level, as illustrated below: it is not
required to use the {magrittr} pipe %>% or curly braces
in this case.
Read in the DM domain
+ +Read in the DM domain
study_ct <- read.csv(system.file("raw_data/sdtm_ct.csv",
package = "sdtm.oak"
))