Coerce xts to ts in R

Question

I have xts time-series object for 10 days of data. The data is sampled at minutes frequency. Therefore, for each day, I have 1440 observations. I need to coerce xts to ts object so that I can use stl function as used in the example. But, On coercion, R generates error as

ts(min_data,start=start(min_data),end = end(min_data),frequency=10)
Error in ts(min_data, start = start(min_data), end = end(min_data), frequency = 10) : 
  invalid time series parameters specified

I set frequency to 10, since I am using data of 10 days. I am not sure whether it should be 10 or 1440. Can anyone help me to fix this error.

MWE is as

library(xts)
timevalues="20150101 0000/20150110 2359"
timesequence<- timeBasedSeq(timevalues)
min_data<-xts(rnorm(14400),timesequence)
ts_data<- ts(min_data,start=start(min_data), end = end(min_data),frequency=10)

UPDATE Although I am able to plot the graph using stl function as suggested by @Pascal, but still I am missing the time component in the x-axis of the graph. Any help will be greatly appreciated.

Answer 1

library(xts)
library(ggplot2)
library(reshape2)

set.seed(42)
timevalues = "20150101 0000/20150110 2359"
timesequence <- timeBasedSeq(timevalues)
min_data <- xts(rnorm(14400),timesequence)

ts_data <- ts(as.numeric(min_data), frequency = 1440)
out <- stl(ts_data, s.window = "per")
time.series <- as.data.frame(cbind(ts_data, out$time.series))
colnames(time.series) <- c("Data", "Seasonal", "Trend", "Remainder")
time.series$Date <- timesequence
time.series <- melt(time.series, 'Date')

ggplot(time.series, aes(x=Date, y=value)) + 
  geom_line() +
  facet_free(variable~.)