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A dataset containing example reliability test data from the military report "Reliability Growth Prediction" (1986) by The Analytical Sciences Corporation. This dataset includes cumulative ETI, failure counts, cumulative MTBF, report numbers, flags, and causes for two different LRUs (G1 and G2).

Usage

testdata

Format

@format ## testdata A data frame with 25 rows and 6 variables:

LRU

The Line Replaceable Unit identifier (G1 or G2).

Cum_ETI

Cumulative Equivalent Test Hours (ETI).

Failure_Count

Cumulative number of failures observed.

Cum_MTBF

Cumulative Mean Time Between Failures (MTBF).

Report_No

Report number associated with the failure.

Flag

A flag indicating special conditions or notes.

Cause

Cause of the failure (e.g., D for Design, M for Manufacturing, R for Random, NR for No Report).

@usage data(testdata)

Examples

data(testdata)
#> Warning: data set ‘testdata’ not found
head(testdata)
#>   LRU Cum_ETI Failure_Count Cum_MTBF Report_No Flag Cause
#> 1  G1     4.9             1      4.9        23    1     D
#> 2  G1    17.8             2      8.9         4    1     D
#> 3  G1    33.4             3     11.1         6    1     D
#> 4  G1    75.3             4     18.8        12    1     D
#> 5  G1    84.0             5     16.8        13    1     D
#> 6  G1   215.0             6     35.6        25    1     D
summary(testdata)
#>      LRU               Cum_ETI       Failure_Count    Cum_MTBF    
#>  Length:25          Min.   :   4.9   Min.   : 1    Min.   :  4.9  
#>  Class :character   1st Qu.: 215.0   1st Qu.: 4    1st Qu.: 31.3  
#>  Mode  :character   Median : 349.0   Median : 7    Median : 70.4  
#>                     Mean   : 780.3   Mean   : 7    Mean   : 89.7  
#>                     3rd Qu.:1503.0   3rd Qu.:10    3rd Qu.:143.4  
#>                     Max.   :2502.0   Max.   :15    Max.   :235.5  
#>                                                                   
#>    Report_No           Flag           Cause          
#>  Min.   :  2.00   Min.   : 0.000   Length:25         
#>  1st Qu.: 21.00   1st Qu.: 1.000   Class :character  
#>  Median : 36.00   Median : 1.000   Mode  :character  
#>  Mean   : 54.36   Mean   : 7.609                     
#>  3rd Qu.: 98.00   3rd Qu.:14.500                     
#>  Max.   :125.00   Max.   :28.000                     
#>                   NA's   :2                          
str(testdata)
#> 'data.frame':	25 obs. of  7 variables:
#>  $ LRU          : chr  "G1" "G1" "G1" "G1" ...
#>  $ Cum_ETI      : num  4.9 17.8 33.4 75.3 84 ...
#>  $ Failure_Count: int  1 2 3 4 5 6 7 8 9 10 ...
#>  $ Cum_MTBF     : num  4.9 8.9 11.1 18.8 16.8 35.6 31.3 32.8 34.6 53.4 ...
#>  $ Report_No    : num  23 4 6 12 13 25 28 36 41 57 ...
#>  $ Flag         : num  1 1 1 1 1 1 1 NA 21 0 ...
#>  $ Cause        : chr  "D" "D" "D" "D" ...