Matrix Multiplication Error in R: non-conformable arguments (2 Examples)
In this article, I’ll illustrate how to deal with the error message “non-conformable arguments” in R when performing matrix multiplication.
Table of contents:
Let’s do this…
Introduction of Example Data
Have a look at the exemplifying data below:
m1 <- matrix(2) # Create first data object m1 # Print first data object |
Table 1 illustrates our first data object: A matrix containing only one value.
m2 <- matrix(1:15, nrow = 5) # Create second data object m2 # Print second data object |
Table 2 shows the second data object: A matrix with five rows and three columns.
Example 1: Reproduce the Error Message – non-conformable arguments
In this example, I’ll explain how to reproduce the error message “non-conformable arguments” in R.
Let’s assume that we want to multiply our two data objects. Then, we might try to execute the following R code:
m1 %*% m2 # Trying to multiply data objects # Error in m1 %*% m2 : non-conformable arguments |
As you can see, the error message “non-conformable arguments” has been returned to the RStudio console.
The reason for this is that our first data object m1 is a 1×1 matrix.
Let’s see how we can solve this problem…
Example 2: Fix the Error Message – non-conformable arguments
This example explains how to handle the error message “non-conformable arguments”.
To do this, we have to convert our 1×1 matrix to a vector using the as.vector function:
as.vector(m1) * m2 # Converting m1 to vector |
Table 3 illustrates the result of the previous R syntax.
Video & Further Resources
In case you need further information on the R programming code of this tutorial, you might want to watch the following video of my YouTube channel. In the video, I’m explaining the topics of this tutorial in R:
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Furthermore, you might want to have a look at the other R tutorials on my website.
Summary: At this point you should have learned how to avoid the error “non-conformable arguments” in R programming. If you have additional questions, let me know in the comments section below.
I’m Joachim Schork. On this website, I provide statistics tutorials as well as code in Python and R programming.
14 Comments. Leave new
I attempted to apply lordif to examine gender differences in my measurement. My gender variable is in the first column followed by the 10 items in the measure. Total N = 1057, almost evenly split by gender. I used the following code:
genDIF <- lordif(Neur_IRT, [ , 1, criterion = 'Chisq', alpha = 0.01
I received message: unexpected '[' in genDIF <- lordif (Neur_IRT, ["
Hey Robert,
It seems like the specification of the arguments within the lordif function is incorrect. What do you want to specify with the [ ? Furthermore, it seems like a ) is missing at the end of this line of code.
Regards,
Joachim
hello，my task is Nonnegative Matrix Factorization，i also meet this problem,but in my code,it is all assumption,so i not find specific matrix to solve,so this problem need how to solve?
Hey,
Could you please share the code and data you have used?
Regards,
Joachim
Dear Joachim,
My Xp and betahatp are as follows(3*2 and 2*1), but I still cannot do Xp*betahatp, could you please help with this? Thank you in advance.
Xp:
[,1] [,2]
[1,] 2 5
[2,] 3 6
[3,] 4 7
betahatp
[,1]
[1,] 1.3333333
[2,] -0.3333333
Xp*betahatp
Error in Xp * betahatp : non-conformable arrays
Best regards,
Yina
Hey Yina,
Are you looking for the following result?
Regards,
Joachim
(my_omg) <- psych::omega(dsse_data,
nfactors = 4,
fm = "minres",
key = c(1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, rep(1, 13)),
poly = TRUE
)
hey, I'm receiving the error: Error in diag(key) %*% m : non-conformable arguments
Hey Manisha,
This is difficult to evaluate without seeing the data in dsse_data. Could you illustrate how these data looks like?
Regards,
Joachim
hello, could you help me
X <- model.matrix(status~WOE_usia+WOE_penghasilan+WOE_debitrasio+WOE_keluarga+
WOE_terlambat30+WOE_terlambat60+WOE_terlambat90,
data = datascoring.WOE)
X=X[,-1]
lasso lasso <- lars(x=X,y=datascoring.WOE$status,trace = TRUE)
LASSO sequence
Computing X'X …..
Error in t(y) %*% x : non-conformable arguments
Hey Fani,
I’m not an expert on the lars package, but it seems like this Stack Overflow thread is discussing your problem. Does this help?
Regards,
Joachim
Complete the code chunk in the template to write a function my_chol that accepts a square, positive definite matrix and returns the Cholesky Decomposition in the form of a lower triangular matrix. You may not use the built-in chol() and within your function, although you can use them to validate your answers.
Your code does need to confirm that the input matrix M is square and positive definite.
Hi Ben,
Could you share the code you have tried yourself?
Regards,
Joachim
hello sir
I try to run my programing in r , but there is a problem.
x1<-rnorm(52)
x2<-rnorm(52)
x3<-rnorm(52)
x4<-rnorm(52)
x5<-rnorm(52)
y<- rnorm(52)
lm_fit<- lm(y~x1+x2+x3+x4+x5)
b<- coefficients(lm_fit)
theta<- b[c("x1","x2","x5")]
theta1<- cbind(0.007575006 , 0.008085839 ,-0.010551001)
dim(theta1)
#long run elasticities
ph2<- b[2]/(1-b[6])
cov1 <- matrix(c(-0.00021705,1.61265e-5,-0.0001109,1.61265e-5,0.0030279,-0.0021881,-0001109,
-0.0021881,0.0020943), nrow = 3 ,ncol = 3)
install.packages("msm")
library(msm)
std.err<- deltamethod(~x1/(1-x5),theta1,cov1)
Error in gdashmu %*% cov : non-conformable arguments
i do not do with this error. can you help me please?
Hey Razieh,
Please excuse the delayed response. I was on a long vacation, so unfortunately I wasn’t able to get back to you earlier. Do you still need help with your question?
Regards,
Joachim