R 对矩阵中的每一行执行t-测试-处理NAs

R 对矩阵中的每一行执行t-测试-处理NAs,r,statistics,na,hypothesis-test,rowwise,R,Statistics,Na,Hypothesis Test,Rowwise,我想对矩阵中的每一行进行t检验。矩阵如下所示: data <- structure(c(NA, NA, 216750, 440450, NA, NA, 597510, 1839055, 851820, 1210200, NA, NA, NA, NA, 486720, 602970, 333150, 346532, NA, NA, 421290, 425660, NA, 375440), .Dim = c(6L, 4L), .Dimnam

我想对矩阵中的每一行进行t检验。矩阵如下所示:

data <- 
structure(c(NA, NA, 216750, 440450, NA, NA, 597510, 1839055, 
            851820, 1210200, NA, NA, NA, NA, 486720, 602970, 333150, 346532, 
            NA, NA, 421290, 425660, NA, 375440), .Dim = c(6L, 4L), .Dimnames = list(
              c("Gregg", "Mark", "Donnie", 
                "Fred", "Tim", "Gracie"
              ), c("AUC_Rep1", "AUC_Rep2", "AUC_Rep3", "AUC_Rep4")))

data调整@count的注释以返回p值:

tpval <- function(x) {
  if(sum(!is.na(x)) < 2) {
    NA_real_
  } else {
    t.test(x, na.rm=TRUE)$p.value
  }
}

> apply(data, 1, tpval)
 Gregg       Mark     Donnie       Fred        Tim     Gracie
    NA         NA 0.03350020 0.03600664         NA 0.02547686
结果是:

> row_t_onesample(data)
       obs    mean          var   stderr df statistic     pvalue  conf.low conf.high alternative mean.null conf.level
Gregg    1  597510          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Mark     1 1839055          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Donnie   4  494145  70080791100 132363.9  3  3.733231 0.03350020  72904.05  915386.0   two.sided         0       0.95
Fred     4  669820 136234723133 184549.9  3  3.629478 0.03600664  82499.72 1257140.3   two.sided         0       0.95
Tim      1  333150          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Gracie   2  360986    417836232  14454.0  1 24.974817 0.02547686 177330.52  544641.5   two.sided         0       0.95

Warning message:
row_t_onesample: 3 of the rows had less than 2 "x" observations.
First occurrence at row 1

如果您的数据是一个
data.frame
这可能会起作用:
apply(dat,1,函数(x)ifelse(sum(is.na(x))%in%c(length(x),length(x)-1),“na”,t.test(x,na.rm=TRUE))
它不能解决问题。在%c(长度(x),长度(x)-1)中给出ifelse(sum(is.na(x))中的错误
error:t.test.default中的错误(x,na.rm=TRUE):根据您的示例,没有足够的“x”观察值对我有效。错误是否发生在实际数据中?它对我的示例数据也不起作用。第一个错误是从:t.test.default(x,na.rm=TRUE)
调用的
,当我按继续时,它会给出前面评论中提到的错误。
> row_t_onesample(data)
       obs    mean          var   stderr df statistic     pvalue  conf.low conf.high alternative mean.null conf.level
Gregg    1  597510          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Mark     1 1839055          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Donnie   4  494145  70080791100 132363.9  3  3.733231 0.03350020  72904.05  915386.0   two.sided         0       0.95
Fred     4  669820 136234723133 184549.9  3  3.629478 0.03600664  82499.72 1257140.3   two.sided         0       0.95
Tim      1  333150          NaN      NaN  0        NA         NA        NA        NA   two.sided         0       0.95
Gracie   2  360986    417836232  14454.0  1 24.974817 0.02547686 177330.52  544641.5   two.sided         0       0.95

Warning message:
row_t_onesample: 3 of the rows had less than 2 "x" observations.
First occurrence at row 1