简体   繁体   English

R-'x'中的无穷或缺失值

[英]R - Infinite or missing values in 'x'

I'm getting Error in svd(x, nu = 0L, nv = 0L) : infinite or missing values in 'x' when trying to calculate SVD for a 100x2 matrix in an R script. Error in svd(x, nu = 0L, nv = 0L) : infinite or missing values in 'x'遇到Error in svd(x, nu = 0L, nv = 0L) : infinite or missing values in 'x'尝试在R脚本中为100x2矩阵计算SVD时Error in svd(x, nu = 0L, nv = 0L) : infinite or missing values in 'x' What's funny is that doing the exact same thing for the exact same matrix in the R prompt works perfectly. 有趣的是,对R提示符中的完全相同的矩阵执行完全相同的操作非常有效。

These are the data: 这些是数据:

       [,1] [,2]
  [1,]   5840    5
  [2,]   5840    6
  [3,]  14600    2
  [4,]   5840    5
  [5,]   5840    4
  [6,]   5840    5
  [7,]  14600    5
  [8,]  14600    8
  [9,]   5840    5
 [10,] 262144   11
 [11,]  66240    5
 [12,]  16560   14
 [13,]   5840    5
 [14,]   5840   17
 [15,]  16560    6
 [16,]   5840    7
 [17,]  66240    5
 [18,]   5840    7
 [19,]  33003    7
 [20,]  65535    7
 [21,]   5840    6
 [22,]  65535    7
 [23,]  65535    4
 [24,]  16560    4
 [25,]   5840    4
 [26,]  14600    9
 [27,]  65535    6
 [28,]  14600    8
 [29,]   8192    8
 [30,]  14600    5
 [31,]  14600    5
 [32,] 131072    8
 [33,]  14600   10
 [34,]  14600    5
 [35,]  14600    5
 [36,]  14600    5
 [37,]  14600    5
 [38,]  14600    8
 [39,]   8192    9
 [40,]   8192   16
 [41,]  65535    5
 [42,]  14600    5
 [43,]   6432    5
 [44,]  14600    5
 [45,]   5840    5
 [46,]  14600    5
 [47,]   8192    7
 [48,] 254992    5
 [49,]  14600    6
 [50,]   5840    7
 [51,]  14600    5
 [52,]   5840    6
 [53,]  16560    7
 [54,]  64860    6
 [55,]  14600    5
 [56,]  14600    5
 [57,]  14600    5
 [58,]  14600    5
 [59,]  14600    5
 [60,]  14600    5
 [61,]   5840    5
 [62,]  65535    4
 [63,]  14600    5
 [64,]  14600    5
 [65,]  14600    8
 [66,] 131328    5
 [67,]   5840    5
 [68,]  14600    5
 [69,]  14600    5
 [70,]  14600    5
 [71,]  14600    5
 [72,]  14600    5
 [73,]  14600    5
 [74,]   5840   19
 [75,]  14600    5
 [76,]   5840    5
 [77,]  14600    5
 [78,]  14600    5
 [79,]  14600    5
 [80,]  14600    5
 [81,]  14600    5
 [82,]  14600    5
 [83,]   5840    7
 [84,]  14600    5
 [85,]  66048   21
 [86,]  65535  159
 [87,]   6432    6
 [88,]  14600    5
 [89,]  65535    5
 [90,]   8192   10
 [91,]   5840    5
 [92,]  14600    5
 [93,]  14600    5
 [94,]  66048    8
 [95,]  14600    5
 [96,]  16560    5
 [97,]  14600    5
 [98,]  42900    6
 [99,]   8192    7
[100,]   8192    7

I'm using a subset of the columns, so the actual call I'm making is svd(C[,1:i]) where C is the matrix I'm using and i equals 2 when this crashes. 我使用的是列的子集,所以我进行的实际调用是svd(C[,1:i]) ,其中C是我正在使用的矩阵,当崩溃时i等于2。

I'm positive that the matrices in the script and in the prompt are the same (I printed them both to different files and diffed them out to make sure!) 我肯定脚本和提示中的矩阵是相同的(我将它们都打印到了不同的文件中,并进行了对比以确保结果!)

So, what could be the problem here? 那么,这可能是什么问题?

EDIT 编辑

dput(C[,1:i])

structure(c(5840, 5840, 14600, 5840, 5840, 5840, 14600, 14600, 
5840, 262144, 66240, 16560, 5840, 5840, 16560, 5840, 66240, 5840, 
33003, 65535, 5840, 65535, 65535, 16560, 5840, 14600, 65535, 
14600, 8192, 14600, 14600, 131072, 14600, 14600, 14600, 14600, 
14600, 14600, 8192, 8192, 65535, 14600, 6432, 14600, 5840, 14600, 
8192, 254992, 14600, 5840, 14600, 5840, 16560, 64860, 14600, 
14600, 14600, 14600, 14600, 14600, 5840, 65535, 14600, 14600, 
14600, 131328, 5840, 14600, 14600, 14600, 14600, 14600, 14600, 
5840, 14600, 5840, 14600, 14600, 14600, 14600, 14600, 14600, 
5840, 14600, 66048, 65535, 6432, 14600, 65535, 8192, 5840, 14600, 
14600, 66048, 14600, 16560, 14600, 42900, 8192, 8192, 5, 6, 2, 
5, 4, 5, 5, 8, 5, 11, 5, 14, 5, 17, 6, 7, 5, 7, 7, 7, 6, 7, 4, 
4, 4, 9, 6, 8, 8, 5, 5, 8, 10, 5, 5, 5, 5, 8, 9, 16, 5, 5, 5, 
5, 5, 5, 7, 5, 6, 7, 5, 6, 7, 6, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 
8, 5, 5, 5, 5, 5, 5, 5, 5, 19, 5, 5, 5, 5, 5, 5, 5, 5, 7, 5, 
21, 159, 6, 5, 5, 10, 5, 5, 5, 8, 5, 5, 5, 6, 7, 7), .Dim = c(100L, 
2L))

Relates to error message of OP , not to specific context of OP. 与OP的错误消息有关,而不与OP的特定上下文有关。

Error in svd(X, nu = 0L) : infinite or missing values in 'x' svd(X,nu = 0L)中的错误:“ x”中的值无穷或缺失

Occurs when calculating LDA .. 在计算LDA时发生..

If the explained variable / group only has one value in the data supplied ( invalid data ). 如果所解释的变量/组在提供的数据中只有一个值(无效数据)。

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

相关问题 R - svd()函数 - 'x'中的无限或缺失值 - R - svd() function - infinite or missing values in 'x' R- prcomp() 的“x”中的无限或缺失值 - R- infinite or missing values in 'x' for prcomp() R 中的 PCA:svd(x,nu=0,nv=k)中的错误:“x”中的值无限或缺失 - PCA in R: Error in svd(x, nu=0, nv=k) : Infinite or missing values in 'x' R MASS软件包中的lm.ridge()说“ svd(X)中的错误:'x'中的值无穷或缺失” - lm.ridge() in R MASS package saying “Error in svd(X) : infinite or missing values in 'x'” R:采样:校准函数:svd(X)中的错误:“ x”中的值无穷或缺失 - R: Sampling: Calib function: Error in svd(X) : infinite or missing values in 'x' 计算R错误中的SVD:缺失值或无限值 - Calculate SVD in R error: missing or infinite values 特征(x)中的错误:“x”中的无限值或缺失值 > 在 robumeta 中 - Error in eigen(x) : infinite or missing values in 'x' > in robumeta 非线性优化问题中的错误:“ x”中的值无穷或缺失 - Error in nonlinear optimization problem : infinite or missing values in 'x' R图上缺少X轴值 - Missing X axis values on R plot svd(x, nu = 0, nv = k) 中的错误:“x”中的值无限或缺失。 矩阵中没有 NA 或 Inf 值 - Error in svd(x, nu = 0, nv = k) : infinite or missing values in 'x'. There are no NA or Inf values in matrix
 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM