Using frequency columns (uncensored/right censored data)
main topic
 

You can structure each column so that it contains individual observations (one row = one observation) or unique observations with a corresponding column of frequencies (counts).

Here are the same data structured both ways:

Individual observations

Frequency columns

 

Days

Censor

140

F

150

F

150

F

150

F

150

F

151

C

151

F

151

F

.

.

.

.

etc.

etc.

Days

Censor

Freq

140

F

1

150

F

4

151

C

1

151

F

35

153

F

42

161

C

1

170

F

39

199

F

1

.

.

.

.

.

.

etc.

etc.

etc.

Four failures at 150 days.

Frequency columns are useful for data where you have large numbers of observations with common failure and censoring times. For example, warranty data usually includes large numbers of observations with common censoring times.