Packages for making time serries

library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
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##     filter, lag
## The following objects are masked from 'package:base':
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##     intersect, setdiff, setequal, union
library(ggplot2)
library(forecast)
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo
library(quantmod)
## Loading required package: xts
## Loading required package: zoo
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## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
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##     as.Date, as.Date.numeric
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## ######################### Warning from 'xts' package ##########################
## #                                                                             #
## # The dplyr lag() function breaks how base R's lag() function is supposed to  #
## # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or       #
## # source() into this session won't work correctly.                            #
## #                                                                             #
## # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add #
## # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop           #
## # dplyr from breaking base R's lag() function.                                #
## #                                                                             #
## # Code in packages is not affected. It's protected by R's namespace mechanism #
## # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning.  #
## #                                                                             #
## ###############################################################################
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## Attaching package: 'xts'
## The following objects are masked from 'package:dplyr':
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##     first, last
## Loading required package: TTR
library(xts)
library(PerformanceAnalytics)
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## Attaching package: 'PerformanceAnalytics'
## The following object is masked from 'package:graphics':
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##     legend

data(Airpassengers)

data("AirPassengers")
ap<-AirPassengers
class(ap)
## [1] "ts"

Time serries plots

plot(ap)

plot(decompose(ap))

removing seasonality

ap.decomp<-decompose(ap,type = "mult")
plot(ap.decomp)