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I tried to create a stacked bar plot in R, but unfortunately I have several problems. R gives me the following error:
Error:
datamust be a data frame, or other object coercible byfortify(), not an S3 object with class Date
I searched for a while, but I can't find a solution. Thank you for helping.
options(stringsAsFactors = FALSE)
input <- "C:\\Users\\CPOD1_time.csv" CPOD1_time <- read.csv(input, sep=";")
CPOD1_time = as.Date(CPOD1_time$date, format = "%d.%m.%Y")
library(lubridate)
library(ggplot2)
p<- ggplot(CPOD1_time, aes(x=date, y=number, fill=time)) +
geom_bar(stat="identity") +theme_bw() + geom_text(aes(y=number), vjust=1.6,
size=3.5)
print(p)
dput(CPOD1_time)
structure(c(17742, 17743, 17744, 17745, 17746, 17747, 17748,
17749, 17750, 17751, 17752, 17753, 17754, 17755, 17756, 17757,
17758, 17759, 17760, 17761, 17762, 17763, 17764, 17765, 17766,
17767, 17768, 17769, 17770, 17771, 17772, 17773, 17774, 17775,
17776, 17742, 17743, 17744, 17745, 17746, 17747, 17748, 17749,
17750, 17751, 17752, 17753, 17754, 17755, 17756, 17757, 17758,
17759, 17760, 17761, 17762, 17763, 17764, 17765, 17766, 17767,
17768, 17769, 17770, 17771, 17772, 17773, 17774, 17775, 17776,
17742, 17743, 17744, 17745, 17746, 17747, 17748, 17749, 17750,
17751, 17752, 17753, 17754, 17755, 17756, 17757, 17758, 17759,
17760, 17761, 17762, 17763, 17764, 17765, 17766, 17767, 17768,
17769, 17770, 17771, 17772, 17773, 17774, 17775, 17776, 17742,
17743, 17744, 17745, 17746, 17747, 17748, 17749, 17750, 17751,
17752, 17753, 17754, 17755, 17756, 17757, 17758, 17759, 17760,
17761, 17762, 17763, 17764, 17765, 17766, 17767, 17768, 17769,
17770, 17771, 17772, 17773, 17774, 17775, 17776), class = "Date")
as.data.frame(CPOD1_time)
date time number
1 30.07.2018 1 0.00000000
2 31.07.2018 1 0.00000000
3 01.08.2018 1 0.00000000
4 02.08.2018 1 0.62500000
5 03.08.2018 1 0.00000000
6 04.08.2018 1 0.00000000
7 05.08.2018 1 0.00000000
8 06.08.2018 1 3.26086957
9 07.08.2018 1 0.00000000
10 08.08.2018 1 0.00000000
11 09.08.2018 1 0.00000000
12 10.08.2018 1 0.00000000
13 11.08.2018 1 0.00000000
14 12.08.2018 1 0.00000000
15 13.08.2018 1 0.00000000
16 14.08.2018 1 0.00000000
17 15.08.2018 1 0.69767442
18 16.08.2018 1 0.00000000
19 17.08.2018 1 0.00000000
20 18.08.2018 1 0.71428571
21 19.08.2018 1 0.71428571
22 20.08.2018 1 0.71428571
23 21.08.2018 1 0.71428571
24 22.08.2018 1 0.00000000
25 23.08.2018 1 3.65853658
26 24.08.2018 1 0.50000000
27 25.08.2018 1 3.00751880
28 26.08.2018 1 1.50375940
29 27.08.2018 1 3.00751880
30 28.08.2018 1 3.75939850
31 29.08.2018 1 0.00000000
32 30.08.2018 1 1.53846154
33 31.08.2018 1 7.69230769
34 01.09.2018 1 5.38461539
35 02.09.2018 1 2.30769231
36 30.07.2018 2 0.16064257
37 31.07.2018 2 0.13100437
38 01.08.2018 2 0.26315789
39 02.08.2018 2 0.19823789
40 03.08.2018 2 0.06622517
41 04.08.2018 2 0.00000000
42 05.08.2018 2 0.00000000
43 06.08.2018 2 0.46927374
44 07.08.2018 2 0.26936027
45 08.08.2018 2 0.33821872
46 09.08.2018 2 0.20385051
47 10.08.2018 2 0.06825939
48 11.08.2018 2 0.27366020
49 12.08.2018 2 0.41284404
50 13.08.2018 2 0.13808976
51 14.08.2018 2 0.06936416
52 15.08.2018 2 0.62717770
53 16.08.2018 2 1.19158878
54 17.08.2018 2 0.07033998
55 18.08.2018 2 0.35335689
56 19.08.2018 2 0.14218010
57 20.08.2018 2 0.85714286
58 21.08.2018 2 0.28742515
59 22.08.2018 2 0.79422383
60 23.08.2018 2 2.10399033
61 24.08.2018 2 1.52727273
62 25.08.2018 2 1.90012180
63 26.08.2018 2 2.50000000
64 27.08.2018 2 0.29556650
65 28.08.2018 2 2.82527881
66 29.08.2018 2 2.31631382
67 30.08.2018 2 2.55319149
68 31.08.2018 2 2.41813602
69 01.09.2018 2 2.05063291
70 02.09.2018 2 2.57309942
71 30.07.2018 3 0.00000000
72 31.07.2018 3 0.00000000
73 01.08.2018 3 0.00000000
74 02.08.2018 3 0.00000000
75 03.08.2018 3 0.00000000
76 04.08.2018 3 0.00000000
77 05.08.2018 3 0.00000000
78 06.08.2018 3 0.00000000
79 07.08.2018 3 0.00000000
80 08.08.2018 3 0.00000000
81 09.08.2018 3 0.66666667
82 10.08.2018 3 0.00000000
83 11.08.2018 3 0.00000000
84 12.08.2018 3 4.13793103
85 13.08.2018 3 0.00000000
86 14.08.2018 3 0.00000000
87 15.08.2018 3 0.71428571
88 16.08.2018 3 2.79069767
89 17.08.2018 3 0.00000000
90 18.08.2018 3 0.00000000
91 19.08.2018 3 0.00000000
92 20.08.2018 3 0.00000000
93 21.08.2018 3 0.72289157
94 22.08.2018 3 0.00000000
95 23.08.2018 3 0.00000000
96 24.08.2018 3 0.00000000
97 25.08.2018 3 0.00000000
98 26.08.2018 3 0.00000000
99 27.08.2018 3 0.00000000
100 28.08.2018 3 0.00000000
101 29.08.2018 3 0.00000000
102 30.08.2018 3 9.23076923
103 31.08.2018 3 0.00000000
104 01.09.2018 3 2.30769231
105 02.09.2018 3 0.00000000
106 30.07.2018 4 0.00000000
107 31.07.2018 4 0.17964072
108 01.08.2018 4 0.17647059
109 02.08.2018 4 0.00000000
110 03.08.2018 4 0.00000000
111 04.08.2018 4 0.00000000
112 05.08.2018 4 0.00000000
113 06.08.2018 4 0.00000000
114 07.08.2018 4 0.32432432
115 08.08.2018 4 0.00000000
116 09.08.2018 4 0.00000000
117 10.08.2018 4 0.31168831
118 11.08.2018 4 1.54241645
119 12.08.2018 4 0.75757576
120 13.08.2018 4 11.89066059
121 14.08.2018 4 1.03703704
122 15.08.2018 4 7.73722628
123 16.08.2018 4 8.09638554
124 17.08.2018 4 1.56769596
125 18.08.2018 4 1.27058823
126 19.08.2018 4 0.55813954
127 20.08.2018 4 0.27522936
128 21.08.2018 4 0.68181818
129 22.08.2018 4 1.88340807
130 23.08.2018 4 2.78761062
131 24.08.2018 4 1.71428571
132 25.08.2018 4 0.39045553
133 26.08.2018 4 0.25751073
134 27.08.2018 4 0.25531915
135 28.08.2018 4 0.25263158
136 29.08.2018 4 0.24896266
137 30.08.2018 4 0.36960986
138 31.08.2018 4 1.09979633
139 01.09.2018 4 0.48387097
140 02.09.2018 4 0.00000000
767
As you can see, the error message “data` must be a data frame, or other object coercible by `fortify ()`, not an S3 object with class uneval” was returned by the RStudio console. The reason for this is that we have specified our data at the wrong position, i.e. within the aes function. So how can we solve this problem? Keep on reading!
As you can see, the error message “data` must be a data frame, or other object coercible by `fortify ()`, not an S3 object with class uneval” was returned by the RStudio console. The reason for this is that we have specified our data at the wrong position, i.e. within the aes function.
Error: `data` must be a data frame, or other object coercible by `fortify ()`, not an S3 object with class uneval Did you accidentally pass `aes ()` to the `data` argument? Show activity on this post. Thanks for contributing an answer to Stack Overflow!
Try this: Workflow is as follows:
library(tidyverse)
library(lubridate)
#`df` is `CPOD_Time` saved as `df<-as.data.frame(CPOD_Time)`
df<-as.data.frame(CPOD_Time)
Then the plot:
df %>%
rename(Time=time,Number=number,Date=date) %>%
mutate(Date=str_replace_all(Date,"\\D","-"),Date=as.character(Date),
Date=dmy(Date)) %>%
ggplot(aes(x=Date, y=Number, fill=Time)) +
geom_bar(stat="identity") +theme_bw() +
geom_text(aes(label=Number), vjust=1.6,size=3.5)
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