R: Converting daily timeseries data to monthly

Question

I am trying to find the deltacovar using the systemicR package but I am having trouble reading my csv file properly in xts form for my daily time series data and converting them into monthly data. I am getting the below mentioned error. How do I fix this error or/and read my data properly? Thank you very much in advance

library(SystemicR)
library(ggplot2)
library(xts)
library(zoo)
Dataset1 <- read.csv('C:/Users/sha03/Desktop/R/intro/data/CC_data_v2.csv',sep = ";"))
v_returns <- numeric(10)
v_returns <- rnorm(10, 0, 0.01)
v_date <- seq(from = as.Date("2015-09-01"), to = as.Date("2021-11-30"), by = "month")
xts_returns <- xts(v_returns, order.by = v_date)

Error in xts(v_returns, order.by = v_date) : NROW(x) must match length(order.by)

date	BTC	ETC	LTC	XMR
9/1/2015	227.96	1.36	2.82	0.45
9/2/2015	229.5	1.31	2.82	0.45
9/3/2015	227.11	1.23	2.64	0.45
9/4/2015	231.18	1.23	2.72	0.47
9/5/2015	235.9	1.36	2.94	0.48
9/6/2015	240.81	1.34	3.08	0.5
9/7/2015	244.17	1.28	3.06	0.5

Answer 1

Generally check out the apply.monthly() function in R and xts. apply.monthly: Apply Function over Calendar Periods