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How to do a partial autocorrelation plot with many zeros in r

Time:07-01

I have a dataset of ER admissions with many zeros. These are daily admissions from 2016-06-05 to 2019-12-31. This is my data:

df<-structure(list(date = structure(c(1465084800, 1465171200, 1465257600, 
1465344000, 1465430400, 1465516800, 1465603200, 1465689600, 1465776000, 
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2L, 7L, 6L, 7L, 3L, 4L, 8L, 3L, 8L, 10L, 3L, 3L, 5L, 4L, 8L, 
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5L, 2L, 5L, 3L, 17L, 6L, 5L, 0L, 1L, 1L, 9L, 1L)), row.names = c(NA, 
-1304L), class = "data.frame")

I want to do a time series analysis with it. I transformed it into a ts to get a pacf

ts1 <- zoo(df$adm, df$date)
ts <- as.xts(ts1)
pacf(ts)

The problem is that the x-axis, usually showing lags like, 1,2,3...is showing lags in magnitudes of hundred of thousands. enter image description here

How can I correct this?

CodePudding user response:

This is closely related to this question: enter image description here

CodePudding user response:

Using the enter image description here

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