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,
1465862400, 1465948800, 1466035200, 1466121600, 1466208000, 1466294400,
1466380800, 1466467200, 1466553600, 1466640000, 1466726400, 1466812800,
1466899200, 1466985600, 1467072000, 1467158400, 1467244800, 1467331200,
1467417600, 1467504000, 1467590400, 1467676800, 1467763200, 1467849600,
1467936000, 1468022400, 1468108800, 1468195200, 1468281600, 1468368000,
1468454400, 1468540800, 1468627200, 1468713600, 1468800000, 1468886400,
1468972800, 1469059200, 1469145600, 1469232000, 1469318400, 1469404800,
1469491200, 1469577600, 1469664000, 1469750400, 1469836800, 1469923200,
1470009600, 1470096000, 1470182400, 1470268800, 1470355200, 1470441600,
1470528000, 1470614400, 1470700800, 1470787200, 1470873600, 1470960000,
1471046400, 1471132800, 1471219200, 1471305600, 1471392000, 1471478400,
1471564800, 1471651200, 1471737600, 1471824000, 1471910400, 1471996800,
1472083200, 1472169600, 1472256000, 1472342400, 1472428800, 1472515200,
1472601600, 1472688000, 1472774400, 1472860800, 1472947200, 1473033600,
1473120000, 1473206400, 1473292800, 1473379200, 1473465600, 1473552000,
1473638400, 1473724800, 1473811200, 1473897600, 1473984000, 1474070400,
1474156800, 1474243200, 1474329600, 1474416000, 1474502400, 1474588800,
1474675200, 1474761600, 1474848000, 1474934400, 1475020800, 1475107200,
1475193600, 1475280000, 1475366400, 1475452800, 1475539200, 1475625600,
1475712000, 1475798400, 1475884800, 1475971200, 1476057600, 1476144000,
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1479340800, 1479427200, 1479513600, 1479600000, 1479686400, 1479772800,
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1490313600, 1490400000, 1490486400, 1490572800, 1490659200, 1490745600,
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1511568000, 1511654400, 1511740800, 1511827200, 1511913600, 1.512e 09,
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-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.
How can I correct this?
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