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roslinazairimah zakaria

2024-Oct-04 04:02 UTC

[R] Warning message: Removed 888 rows containing missing values or values outside the scale range (`geom_line()`)

Dear all,
I tried to rerun the examples given by Hyndman in otexts but keep on
getting errors and I have searched through google but no solution yet.

Thank you in advance for any help given.

library(fpp3)
library(lubridate)
library(xts)
library(fabletools)
library(ggplot2)
library(dplyr)
library(gridExtra)
> dput(head(new_us_retail_employment,100))structure(list(Month =
structure(c(-11323, -11292, -11264, -11233,-11203, -11172, -11142, -11111, -11080, -11050, -11019, -10989,
-10958, -10927, -10898, -10867, -10837, -10806, -10776, -10745,
-10714, -10684, -10653, -10623, -10592, -10561, -10533, -10502,
-10472, -10441, -10411, -10380, -10349, -10319, -10288, -10258,
-10227, -10196, -10168, -10137, -10107, -10076, -10046, -10015,
-9984, -9954, -9923, -9893, -9862, -9831, -9803, -9772, -9742,
-9711, -9681, -9650, -9619, -9589, -9558, -9528, -9497, -9466,
-9437, -9406, -9376, -9345, -9315, -9284, -9253, -9223, -9192,
-9162, -9131, -9100, -9072, -9041, -9011, -8980, -8950, -8919,
-8888, -8858, -8827, -8797, -8766, -8735, -8707, -8676, -8646,
-8615, -8585, -8554, -8523, -8493, -8462, -8432, -8401, -8370,
-8342, -8311), class = c("yearmonth", "vctrs_vctr")),
Series_ID c("CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001", "CEU0500000001",
"CEU0500000001",
"CEU0500000001", "CEU0500000001",
"CEU0500000001"), Title = c("Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total Private",
"Total Private",
"Total Private", "Total Private", "Total
Private"), Employed = c(25338,
25447, 25833, 25801, 26113, 26485, 26481, 26848, 27468, 27830,
27740, 27886, 26847, 26902, 27205, 27255, 27535, 27765, 27789,
28332, 29007, 29399, 29619, 30221, 29402, 29671, 30079, 30610,
31379, 31999, 32545, 33014, 33417, 33457, 33367, 33552, 32660,
32739, 33240, 33764, 34203, 34624, 35065, 35460, 35771, 35852,
35867, 36209, 35494, 35627, 35955, 36212, 36202, 36608, 36637,
36628, 36584, 36658, 36810, 36815, 36018, 35973, 35948, 35833,
35768, 35949, 35861, 35828, 35652, 35555, 35597, 35850, 35229,
35290, 35411, 35161, 35024, 35065, 34769, 34490, 32760, 32833,
33354, 33755, 33656, 33092, 34240, 34997, 35409, 36074, 36474,
37139, 37532, 37637, 38045, 38351, 37510, 37495, 37720, 37686
)), class = c("tbl_ts", "tbl_df", "tbl",
"data.frame"), row.names = c(NA,
-100L), key = structure(list(Series_ID = "CEU0500000001", .rows
structure(list(
    1:100), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr",
"list"))), class = c("tbl_df", "tbl",
"data.frame"), row.names = c(NA,
-1L), .drop = TRUE), index = structure("Month", ordered = TRUE),
index2 = "Month", interval = structure(list(
    year = 0, quarter = 0, month = 1, week = 0, day = 0, hour = 0,
    minute = 0, second = 0, millisecond = 0, microsecond = 0,
    nanosecond = 0, unit = 0), .regular = TRUE, class = c("interval",
"vctrs_rcrd", "vctrs_vctr")))



# Decomposition
new_us_retail_employment <- na.omit(us_retail_employment) # data cleaning

new_us_retail_employment |>
  model(
    classical_decomposition(Employed, type = "additive")
  ) |>
  components() |>
  autoplot() +xlab("Year") +
  ggtitle("Classical additive decomposition of total
                  US retail employment")
> new_us_retail_employment |>+   model(+    
classical_decomposition(Employed, type = "additive")+   ) |>+  
components() |>+   autoplot() +xlab("Year") ++  
ggtitle("Classical additive decomposition of total+                   US
retail employment")Warning message:Removed 888 rows containing missing
values or values outside the scale range (`geom_line()`)


-- 
*Roslinazairimah Zakaria*
*Tel: +609-5492370; Fax. No.+609-5492766*

*Email: roslinazairimah at ump.edu.my <roslinazairimah at ump.edu.my>;
roslinaump at gmail.com <roslinaump at gmail.com>*
Faculty of Industrial Sciences & Technology
University Malaysia Pahang
Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia

	[[alternative HTML version deleted]]

Hasan Diwan

2024-Oct-04 04:09 UTC

head link

[R] Warning message: Removed 888 rows containing missing values or values outside the scale range (`geom_line()`)

These are warnings, not errors.

On Thu, 3 Oct 2024 at 21:02, roslinazairimah zakaria <roslinaump at
gmail.com>
wrote:
> Dear all,
> I tried to rerun the examples given by Hyndman in otexts but keep on
> getting errors and I have searched through google but no solution yet.
>
> Thank you in advance for any help given.
>
> library(fpp3)
> library(lubridate)
> library(xts)
> library(fabletools)
> library(ggplot2)
> library(dplyr)
> library(gridExtra)
>
> > dput(head(new_us_retail_employment,100))structure(list(Month >
structure(c(-11323, -11292, -11264, -11233,
> -11203, -11172, -11142, -11111, -11080, -11050, -11019, -10989,
> -10958, -10927, -10898, -10867, -10837, -10806, -10776, -10745,
> -10714, -10684, -10653, -10623, -10592, -10561, -10533, -10502,
> -10472, -10441, -10411, -10380, -10349, -10319, -10288, -10258,
> -10227, -10196, -10168, -10137, -10107, -10076, -10046, -10015,
> -9984, -9954, -9923, -9893, -9862, -9831, -9803, -9772, -9742,
> -9711, -9681, -9650, -9619, -9589, -9558, -9528, -9497, -9466,
> -9437, -9406, -9376, -9345, -9315, -9284, -9253, -9223, -9192,
> -9162, -9131, -9100, -9072, -9041, -9011, -8980, -8950, -8919,
> -8888, -8858, -8827, -8797, -8766, -8735, -8707, -8676, -8646,
> -8615, -8585, -8554, -8523, -8493, -8462, -8432, -8401, -8370,
> -8342, -8311), class = c("yearmonth", "vctrs_vctr")),
Series_ID > c("CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001", "CEU0500000001",
> "CEU0500000001", "CEU0500000001",
"CEU0500000001"), Title = c("Total
> Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private", "Total Private",
> "Total Private", "Total Private", "Total
Private"), Employed = c(25338,
> 25447, 25833, 25801, 26113, 26485, 26481, 26848, 27468, 27830,
> 27740, 27886, 26847, 26902, 27205, 27255, 27535, 27765, 27789,
> 28332, 29007, 29399, 29619, 30221, 29402, 29671, 30079, 30610,
> 31379, 31999, 32545, 33014, 33417, 33457, 33367, 33552, 32660,
> 32739, 33240, 33764, 34203, 34624, 35065, 35460, 35771, 35852,
> 35867, 36209, 35494, 35627, 35955, 36212, 36202, 36608, 36637,
> 36628, 36584, 36658, 36810, 36815, 36018, 35973, 35948, 35833,
> 35768, 35949, 35861, 35828, 35652, 35555, 35597, 35850, 35229,
> 35290, 35411, 35161, 35024, 35065, 34769, 34490, 32760, 32833,
> 33354, 33755, 33656, 33092, 34240, 34997, 35409, 36074, 36474,
> 37139, 37532, 37637, 38045, 38351, 37510, 37495, 37720, 37686
> )), class = c("tbl_ts", "tbl_df", "tbl",
"data.frame"), row.names = c(NA,
> -100L), key = structure(list(Series_ID = "CEU0500000001", .rows
> structure(list(
>     1:100), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr",
> "list"))), class = c("tbl_df", "tbl",
"data.frame"), row.names = c(NA,
> -1L), .drop = TRUE), index = structure("Month", ordered = TRUE),
> index2 = "Month", interval = structure(list(
>     year = 0, quarter = 0, month = 1, week = 0, day = 0, hour = 0,
>     minute = 0, second = 0, millisecond = 0, microsecond = 0,
>     nanosecond = 0, unit = 0), .regular = TRUE, class =
c("interval",
> "vctrs_rcrd", "vctrs_vctr")))
>
>
>
> # Decomposition
> new_us_retail_employment <- na.omit(us_retail_employment) # data
cleaning
>
> new_us_retail_employment |>
>   model(
>     classical_decomposition(Employed, type = "additive")
>   ) |>
>   components() |>
>   autoplot() +xlab("Year") +
>   ggtitle("Classical additive decomposition of total
>                   US retail employment")
>
> > new_us_retail_employment |>+   model(+
>  classical_decomposition(Employed, type = "additive")+   ) |>+
>  components() |>+   autoplot() +xlab("Year") ++  
ggtitle("Classical
> additive decomposition of total+                   US retail
> employment")Warning message:Removed 888 rows containing missing values
or
> values outside the scale range (`geom_line()`)
>
>
>
> --
> *Roslinazairimah Zakaria*
> *Tel: +609-5492370; Fax. No.+609-5492766*
>
> *Email: roslinazairimah at ump.edu.my <roslinazairimah at
ump.edu.my>;
> roslinaump at gmail.com <roslinaump at gmail.com>*
> Faculty of Industrial Sciences & Technology
> University Malaysia Pahang
> Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> https://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
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*bit.ly/hd1AppointmentRequest
<http://bit.ly/hd1AppointmentRequest>*.
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<http://bit.ly/hd1AppointmentRequest>*.

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R help - Oct 2024 - Warning message: Removed 888 rows containing missing values or values outside the scale range (`geom_line()`)

[R] Warning message: Removed 888 rows containing missing values or values outside the scale range (`geom_line()`)

[R] Warning message: Removed 888 rows containing missing values or values outside the scale range (`geom_line()`)

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