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Why does not ACF and PACF graphs function with ggplot?
Grouping functions (tapply, by, aggregate) and the *apply familyR ggplot2 plot several time series in a plotHow can I handle R CMD check “no visible binding for global variable” notes when my ggplot2 syntax is sensible?Dealing with uncommon date structures in ggplot2R's auto.arima() equivalent in Python“Error: Aesthetics must be either length 1 or the same as the data” Why?Plot of ACF & PACFHow to find accuracy of ARIMA model?Can't seem to get ACF of differenced variable in RHow to convert a one variable list chart in plot into ggplot2 format?
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I am a new R-user and I am having a problem with the ACF and PACF. I am using the package ggplot2
in order to get better graphs, and the version that I am using is R
version 3.5.2
.
- I am using a data that contains macroeconomics information since 1890, as you now the majority of these time series need to be differenced in order to be stationary. Then, I differentiated one of these variables and when i tried to plot the ACF and PACF, R produces an error.
Error in ts(x) : 'ts' object must have one or more observations
I reviewed my data and I looked that the variable has the complete information with the exception of the first term that is a NA and is produced for the differentiation process.
I am using this code:
PACF_D<- autoplot(pacf((FG1$D_UR), plot = FALSE), ylab = "Partial ACF")
ACF_D<- autoplot(acf((FG1$D_UR), plot = FALSE))
I was using the same code in order to estimate the PACF of other variables, and it functioned, but when I use the code for a differentiated variable, it does not function.
Thank you for your help.
r ggplot2 compiler-errors time-series
add a comment |
I am a new R-user and I am having a problem with the ACF and PACF. I am using the package ggplot2
in order to get better graphs, and the version that I am using is R
version 3.5.2
.
- I am using a data that contains macroeconomics information since 1890, as you now the majority of these time series need to be differenced in order to be stationary. Then, I differentiated one of these variables and when i tried to plot the ACF and PACF, R produces an error.
Error in ts(x) : 'ts' object must have one or more observations
I reviewed my data and I looked that the variable has the complete information with the exception of the first term that is a NA and is produced for the differentiation process.
I am using this code:
PACF_D<- autoplot(pacf((FG1$D_UR), plot = FALSE), ylab = "Partial ACF")
ACF_D<- autoplot(acf((FG1$D_UR), plot = FALSE))
I was using the same code in order to estimate the PACF of other variables, and it functioned, but when I use the code for a differentiated variable, it does not function.
Thank you for your help.
r ggplot2 compiler-errors time-series
have you tried using the functionsggAcf
anggAcf
? These are the functions that are part ofggplot2
that are meant for plotting time series.
– NM_
Mar 23 at 19:06
add a comment |
I am a new R-user and I am having a problem with the ACF and PACF. I am using the package ggplot2
in order to get better graphs, and the version that I am using is R
version 3.5.2
.
- I am using a data that contains macroeconomics information since 1890, as you now the majority of these time series need to be differenced in order to be stationary. Then, I differentiated one of these variables and when i tried to plot the ACF and PACF, R produces an error.
Error in ts(x) : 'ts' object must have one or more observations
I reviewed my data and I looked that the variable has the complete information with the exception of the first term that is a NA and is produced for the differentiation process.
I am using this code:
PACF_D<- autoplot(pacf((FG1$D_UR), plot = FALSE), ylab = "Partial ACF")
ACF_D<- autoplot(acf((FG1$D_UR), plot = FALSE))
I was using the same code in order to estimate the PACF of other variables, and it functioned, but when I use the code for a differentiated variable, it does not function.
Thank you for your help.
r ggplot2 compiler-errors time-series
I am a new R-user and I am having a problem with the ACF and PACF. I am using the package ggplot2
in order to get better graphs, and the version that I am using is R
version 3.5.2
.
- I am using a data that contains macroeconomics information since 1890, as you now the majority of these time series need to be differenced in order to be stationary. Then, I differentiated one of these variables and when i tried to plot the ACF and PACF, R produces an error.
Error in ts(x) : 'ts' object must have one or more observations
I reviewed my data and I looked that the variable has the complete information with the exception of the first term that is a NA and is produced for the differentiation process.
I am using this code:
PACF_D<- autoplot(pacf((FG1$D_UR), plot = FALSE), ylab = "Partial ACF")
ACF_D<- autoplot(acf((FG1$D_UR), plot = FALSE))
I was using the same code in order to estimate the PACF of other variables, and it functioned, but when I use the code for a differentiated variable, it does not function.
Thank you for your help.
r ggplot2 compiler-errors time-series
r ggplot2 compiler-errors time-series
edited Mar 23 at 17:28
john
1,65052029
1,65052029
asked Mar 23 at 17:02
Eve ChanatasigEve Chanatasig
1
1
have you tried using the functionsggAcf
anggAcf
? These are the functions that are part ofggplot2
that are meant for plotting time series.
– NM_
Mar 23 at 19:06
add a comment |
have you tried using the functionsggAcf
anggAcf
? These are the functions that are part ofggplot2
that are meant for plotting time series.
– NM_
Mar 23 at 19:06
have you tried using the functions
ggAcf
an ggAcf
? These are the functions that are part of ggplot2
that are meant for plotting time series.– NM_
Mar 23 at 19:06
have you tried using the functions
ggAcf
an ggAcf
? These are the functions that are part of ggplot2
that are meant for plotting time series.– NM_
Mar 23 at 19:06
add a comment |
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have you tried using the functions
ggAcf
anggAcf
? These are the functions that are part ofggplot2
that are meant for plotting time series.– NM_
Mar 23 at 19:06