# R Error in rep(X) : invalid ‘times’ argument (2 Examples)

In this post you’ll learn how to **handle the “Error in rep(X) : invalid ‘times’ argument”** in the R programming language.

The article will contain two examples for the handling of the “Error in rep(X) : invalid ‘times’ argument”. To be more specific, the content is structured as follows:

Let’s dive into it!

## Example 1: Reproduce the Error in rep(X) : invalid ‘times’ argument

Example 1 explains how to replicate the “Error in rep(X) : invalid ‘times’ argument” in the R programming language.

Have a look at the following application of the rep function:

rep("a", - 5) # Application of rep doesn't work # Error in rep("a", -5) : invalid 'times' argument

As you can see, the previous R code has returned the error message “Error in rep(X) : invalid ‘times’ argument”.

The reason for this error is that we have tried to use a negative times value (i.e. – 5).

Let’s fix this problem!

## Example 2: Fix the Error in rep(X) : invalid ‘times’ argument

The following code demonstrates how to debug the “Error in rep(X) : invalid ‘times’ argument”.

For this, we have to assign a positive value to the times argument:

rep("a", 5) # Properly apply rep function # [1] "a" "a" "a" "a" "a"

The previous R code has worked fine and has not returned any error messages.

## Video & Further Resources

Do you need more explanations on the R syntax of the present tutorial? Then you may have a look at the following video on my YouTube channel. In the video, I’m explaining the contents of this tutorial:

*The YouTube video will be added soon.*

Besides the video, you might have a look at some of the related R programming posts on this website:

- Error in Function: Unused Argument in R
- How to Fix the R Error in stripchart.default(x1, …) : invalid plotting method
- Error in .subset(x, j) : invalid subscript type ‘list’
- Error in file(file, “rt”) : invalid ‘description’ argument (read.table & csv)
- Solving Warnings & Errors in R (List with Examples)
- R Programming Tutorials

Summary: This article has shown how to properly replicate a value and how to **avoid the “Error in rep(X) : invalid ‘times’ argument”** in the R programming language. Let me know in the comments below, if you have further questions.

## 2 Comments. Leave new

When I run this code, it shows the error on the console.

model <- forecast:::forecast.HoltWinters(mod, h=(length(data) – length(dataTrain)))

Error in rep(as.vector(object$coefficients[1L]), n.ahead) :

invalid 'times' argument

Also,…

Another code that I run does not work as well.

comp <- cbind(dataTest,fc)

Error in .cbind.ts(list(…), .makeNamesTs(…), dframe = FALSE, union = TRUE) :

non-time series not of the correct length

This is all the codes that I try to use for HoltWinters Forecast

library(tidyverse)

library(googleAuthR)

library(googleAnalyticsR)

library(forecast)

library(reshape2)

library(scales)

library(dplyr)

library(reprex)

ga_auth()

ga_account_list()

metadata <- ga_meta(version = "universal", propertyId = 235022546)

ga_id <- 235022546

BaNANA_gadata2 <- google_analytics_3(id = ga_id,

start = "2021-05-15",

end = "2022-04-30",

metrics = "ga:organicSearches",

dimensions = "ga:date")

plot(BaNANA_gadata2)

BaNANA_gadata2

data <- BaNANA_gadata2

data.ts <- as.ts(data)

data.ts

plot(data.ts, type = 'b', col = "blue", main = colnames(data.ts))

#Training and Test Split

split <- ceiling(0.7 * length(data))

dataTrain <- ts(data[1:split], frequency = 15, start = c(2021,5))

dataTest <- ts(data[c((split+1) : nrow(data)),], frequency = 15, start = c(2022,5))

actual <- unclass(dataTrain)

actualFull <- unclass(data)

forecastGen <- function(metd){

if(metd == "HoltWinters"){

method <- "HoltWinters {stats}"

mod <- HoltWinters(dataTrain, optim.start = c(alpha = 0.99, beta = 0.001, gamma = 0.001))

model <- forecast:::forecast.HoltWinters(mod, h=(length(data) – length(dataTrain)))

actualFull <- actualFull[16:length(actualFull)]

actual <- actual[16:length(actual)]

i = 4

}

if(metd == "hw"){

method <- "hw {forecast}"

model <- hw(dataTrain, initial = "optimal", h=(length(data) – length(dataTrain)))

i = 2

}

filename <- paste(method, ".png", sep = "")

fit <- as.data.frame(model$fitted)[,1] # Fitted Values

fitV <- unclass(fit)

fc <- unlist(model[i])

names(fc) <- NULL

fitForecast <- (c(fit,fc))

comp <- cbind(dataTest,fc)

compFull <- cbind(actualFull, fitForecast)

cat("Accuracy of Model:", metd,"\n")

print(accuracy(model))

mape <- round(mean(abs((comp[,2]-comp[,1])/comp[,1]))*100,2)

cat("\n", paste("MAPE of Predictions =", mape), "\n\n")

upper <- c(actual,model$upper[,1])

lower <- c(actual,model$lower[,1])

#Plot and Save

png(file = filename,width = 900,height = 550)

plot(actualFull, type = 'l', col = 'black', lwd = 2.5, main = method,

ylab = colnames(data.ts), xlab = "Time Intervals", ylim = c(min(lower),max(upper)))

grid()

lines(fitForecast, type = 'l', col = 'red', lwd = 2)

lines(fitV, type = 'l', col = 'blue', lwd = 3)

lines(upper, col = "orange", lwd = 0.5)

lines(lower, col = "orange", lwd = 0.5)

legend("bottomright", inset = .01, c("Actual","Fitted","Predicted"),

fill = c(1,4,2), horiz = TRUE, cex = 0.75)

}

# call the functions on HoltWinters() ad hw ()

forecastGen(metd = "HoltWinters")

forecastGen(metd = "hw")

Hey Palin,

What is returned to the console when you run the following code?

Regards,

Joachim