“plot.window（...）中的错误：需要有限的'ylim'值” - R中的SPC图表

Question

我在R中使用qcc包来尝试生成SPC'R图表'：

library(qcc) 
my.data <- read.csv("/Users/Me/Desktop/data.csv",header=FALSE) 

的数据读好，我也得到任何错误消息，如果我尝试：

summary(my.data) 

但是，如果我再尝试创建实际的图表：

q1 <- qcc(my.data, type="R", nsigmas=3) 

然后时I g等的错误消息：

Error in plot.window(...) : need finite 'ylim' values 

我已经做了一点在线阅读和这个最常见的原因似乎在数据丢失或“不适用”的价值观，但也有每个数据点的数值在我的数据集中。我也试着明确声明ylim：

q1 <- qcc(my.data, type="R", nsigmas=3, ylim=300) 

但给我的错误信息：

Error in plot.window(...) : invalid 'ylim' value 

我会为任何建议，以什么尝试在下感激不尽。完整的数据集通过dput包含在下面（在RStudio中显示为“34个变量的16个观察值”，这是正确的）。谢谢！

structure(list(V1 = c(109L, 99L, 93L, 79L, 90L, 59L, 102L, 104L, 98L, 98L, 104L, 85L, 107L, 98L, 76L, 54L), V2 = c(153L, 115L, 120L, 136L, 104L, 114L, 106L, 139L, 124L, 144L, 114L, 129L, 130L, 144L, 137L, 147L), V3 = c(167L, 162L, 156L, 173L, 151L, 169L, 160L, 151L, 132L, 140L, 137L, 192L, 164L, 155L, 182L, 112L), V4 = c(99L, 99L, 92L, 93L, 98L, 118L, 134L, 137L, 130L, 136L, 133L, 126L, 113L, 111L, 94L, 85L), V5 = c(140L, 87L, 123L, 111L, 80L, 98L, 59L, 81L, 64L, 83L, 105L, 86L, 103L, 117L, 109L, 51L), V6 = c(177L, 124L, 160L, 138L, 145L, 119L, 132L, 103L, 116L, 103L, 136L, 172L, 165L, 165L, 160L, 151L), V7 = c(219L, 156L, 149L, 136L, 165L, 163L, 144L, 175L, 155L, 196L, 165L, 161L, 168L, 170L, 196L, 123L), V8 = c(104L, 95L, 90L, 87L, 122L, 94L, 87L, 108L, 108L, 105L, 123L, 124L, 157L, 122L, 132L, 123L), V9 = c(80L, 67L, 85L, 79L, 65L, 69L, 81L, 62L, 68L, 68L, 81L, 76L, 100L, 89L, 96L, 64L), V10 = c(90L, 66L, 82L, 89L, 100L, 62L, 61L, 58L, 44L, 79L, 54L, 62L, 53L, 62L, 78L, 48L), V11 = c(65L, 62L, 55L, 58L, 64L, 69L, 74L, 53L, 62L, 53L, 76L, 67L, 109L, 83L, 95L, 62L), V12 = c(66L, 58L, 80L, 62L, 70L, 61L, 80L, 81L, 67L, 94L, 61L, 63L, 80L, 77L, 80L, 69L), V13 = c(70L, 88L, 61L, 81L, 59L, 61L, 69L, 85L, 68L, 72L, 50L, 81L, 70L, 82L, 81L, 56L), V14 = c(155L, 142L, 156L, 117L, 125L, 119L, 115L, 110L, 109L, 124L, 109L, 137L, 117L, 115L, 119L, 76L), V15 = c(167L, 124L, 139L, 162L, 137L, 138L, 128L, 131L, 132L, 147L, 150L, 156L, 151L, 131L, 117L, 112L), V16 = c(139L, 113L, 121L, 99L, 95L, 83L, 78L, 89L, 98L, 79L, 110L, 93L, 87L, 68L, 97L, 80L), V17 = c(79L, 49L, 70L, 79L, 64L, 63L, 81L, 89L, 82L, 80L, 62L, 93L, 71L, 62L, 63L, 46L), V18 = c(99L, 83L, 126L, 110L, 116L, 104L, 110L, 105L, 122L, 117L, 129L, 113L, 155L, 128L, 130L, 116L), V19 = c(69L, 73L, 72L, 88L, 96L, 99L, 96L, 89L, 96L, 102L, 78L, 76L, 105L, 107L, 79L, 54L), V20 = c(114L, 97L, 100L, 95L, 106L, 115L, 121L, 119L, 124L, 113L, 91L, 93L, 80L, 82L, 83L, 67L), V21 = c(122L, 110L, 121L, 105L, 116L, 98L, 136L, 130L, 96L, 110L, 113L, 123L, 134L, 104L, 120L, 128L), V22 = c(61L, 77L, 88L, 101L, 89L, 70L, 64L, 63L, 81L, 69L, 79L, 79L, 78L, 83L, 81L, 69L), V23 = c(114L, 86L, 103L, 93L, 102L, 95L, 83L, 102L, 87L, 81L, 67L, 84L, 82L, 63L, 87L, 65L), V24 = c(80L, 81L, 96L, 69L, 70L, 77L, 84L, 71L, 82L, 80L, 59L, 59L, 56L, 45L, 74L, 54L), V25 = c(69L, 41L, 65L, 62L, 62L, 68L, 37L, 44L, 54L, 46L, 48L, 50L, 46L, 40L, 44L, 31L), V26 = c(155L, 129L, 117L, 164L, 129L, 128L, 125L, 118L, 92L, 103L, 94L, 120L, 129L, 107L, 130L, 111L), V27 = c(87L, 79L, 92L, 78L, 73L, 57L, 85L, 79L, 87L, 99L, 78L, 88L, 88L, 94L, 69L, 54L), V28 = c(142L, 165L, 205L, 220L, 162L, 188L, 176L, 150L, 194L, 202L, 169L, 168L, 239L, 181L, 187L, 134L), V29 = c(123L, 103L, 93L, 102L, 106L, 108L, 114L, 85L, 91L, 95L, 112L, 138L, 92L, 94L, 117L, 101L), V30 = c(109L, 96L, 113L, 99L, 105L, 83L, 118L, 119L, 97L, 93L, 105L, 106L, 122L, 101L, 86L, 59L), V31 = c(99L, 105L, 108L, 105L, 137L, 92L, 81L, 107L, 92L, 83L, 86L, 92L, 74L, 68L, 97L, 51L), V32 = c(126L, 95L, 105L, 96L, 87L, 70L, 78L, 74L, 97L, 101L, 95L, 97L, 106L, 71L, 89L, 67L), V33 = c(115L, 94L, 109L, 126L, 122L, 111L, 99L, 101L, 109L, 94L, 102L, 84L, 74L, 87L, 79L, 62L), V34 = c(87L, 112L, 94L, 97L, 123L, 105L, 102L, 97L, 101L, 107L, 106L, 120L, 125L, 120L, 110L, 75L)), .Names = c("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34"), class = "data.frame", row.names = c(NA, -16L)) 

Answer 1

添加ylim为向量：

qcc::qcc(my.data, type="R", nsigmas=3, ylim=c(0,300)) 

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