Type the supervision table into R

By the end of this module you will be able to

Build a data.frame from typed values.
Map each column to one condition.
Print a dataset to check it.

Let's recreate the Module 9 table as a data.frame, which is just R's name for a spreadsheet. Each c(...) is one column, listing the six facilities' values from top to bottom. Type carefully; R is a stickler for commas.

first_model.R

library(cna)

# build the supportive-supervision dataset (6 facilities)
# conditions are GAPS; outcome LowCov = 1 means coverage fell below target
immunization <- data.frame(
  NoTrain = c(0, 0, 1, 0, 1, 0),
  NoCold  = c(1, 0, 1, 0, 0, 1),
  NoSuper = c(0, 1, 0, 0, 0, 1),
  NoComm  = c(0, 0, 1, 1, 0, 1),
  LowCov  = c(1, 1, 1, 0, 0, 1)
)

# look at it
immunization

Output NoTrain NoCold NoSuper NoComm LowCov
1 0 1 0 0 1
2 0 0 1 0 1
3 1 1 0 1 1
4 0 0 0 1 0
5 1 0 0 0 0
6 0 1 1 1 1

Six rows, five columns. R now holds your supervision data exactly as you designed it, missing children and all.

Reflect

Recreate the table yourself.

Did every column get the right number of values, one per facility?
What would happen if one c(...) had a value too few?