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- data <- structure(list(Sample = 1:14, Head = c(1L, 0L, NA, 1L, 1L, 1L,
- 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L), Shoulders = c(13L, 14L, NA,
- 18L, 10L, 24L, 53L, NA, 86L, 9L, 65L, 87L, 54L, 36L), Knees = c(1L,
- 1L, NA, 1L, 1L, 2L, 3L, 2L, 1L, NA, 2L, 3L, 4L, 3L), Toes = c(324L,
- 5L, NA, NA, 5L, 67L, 785L, 42562L, 554L, 456L, 7L, NA, 54L, NA
- )), .Names = c("Sample", "Head", "Shoulders", "Knees", "Toes"
- ), class = "data.frame", row.names = c(NA, -14L))
- just.samples.with.shoulder.values <- data[complete.cases(data[,"Shoulders"])]
- print(just.samples.with.shoulder.values)
- data[!is.na(data["Shoulders"]),]
- Sample Head Shoulders Knees Toes
- 1 1 1 13 1 324
- 2 2 0 14 1 5
- 4 4 1 18 1 NA
- 5 5 1 10 1 5
- 6 6 1 24 2 67
- 7 7 0 53 3 785
- 9 9 1 86 1 554
- 10 10 1 9 NA 456
- 11 11 1 65 2 7
- 12 12 1 87 3 NA
- 13 13 0 54 4 54
- 14 14 1 36 3 NA
- data[complete.cases(data$Shoulders), ]
- # Sample Head Shoulders Knees Toes
- # 1 1 1 13 1 324
- # 2 2 0 14 1 5
- # 4 4 1 18 1 NA
- # 5 5 1 10 1 5
- # 6 6 1 24 2 67
- # 7 7 0 53 3 785
- # 9 9 1 86 1 554
- # 10 10 1 9 NA 456
- # 11 11 1 65 2 7
- # 12 12 1 87 3 NA
- # 13 13 0 54 4 54
- # 14 14 1 36 3 NA
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