问题
I am testing to make an analysis of sentiment on a dataset. Here, I am trying to see if if there are any interesting observations between message volume and buzzs, message volume and scores...
There is what my dataset looks like:
> str(data)
'data.frame': 40 obs. of 11 variables:
$ Date Time : POSIXct, format: "2015-07-08 09:10:00" "2015-07-08 09:10:00" ...
$ Subject : chr "MMM" "ACE" "AES" "AFL" ...
$ Sscore : chr "-0.2280" "-0.4415" "1.9821" "-2.9335" ...
$ Smean : chr "0.2593" "0.3521" "0.0233" "0.0035" ...
$ Svscore : chr "-0.2795" "-0.0374" "1.1743" "-0.2975" ...
$ Sdispersion : chr "0.375" "0.500" "1.000" "1.000" ...
$ Svolume : num 8 4 1 1 5 3 2 1 1 2 ...
$ Sbuzz : chr "0.6026" "0.7200" "1.9445" "0.8321" ...
$ Last close : chr "155.430000000" "104.460000000" "13.200000000" "61.960000000" ...
$ Company name: chr "3M Company" "ACE Limited" "The AES Corporation" "AFLAC Inc." ...
$ Date : Date, format: "2015-07-08" "2015-07-08" ...
I thought about a linear regression, So I wanted to use ggplot, but I use this code and I think I got wrong somewhere as I don't have the regression lines that appears... Is it because the regression is to weak? I helped with the code from : code of topchef
Mine is:
library(ggplot2)
require(ggplot2)
library("reshape2")
require(reshape2)
data.2 = melt(data[3:9], id.vars='Svolume')
ggplot(data.2) +
geom_jitter(aes(value,Svolume, colour=variable),) + geom_smooth(aes(value,Svolume, colour=variable), method=lm, se=FALSE) +
facet_wrap(~variable, scales="free_x") +
labs(x = "Variables", y = "Svolumes")
But I probably missunderstood something as I don't get what I want. I am very new to R so I would love someone help me.
I have this error:
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)?
Finally do you think it would be possible to have a different colors for the different Subjects instead of one color per variable please? Can I add the regression line on every graphs?
Thank you for your help.
Sample data:
Date Time Subject Sscore Smean Svscore Sdispersion Svolume Sbuzz Last close Company name Date
1 2015-07-08 09:10:00 MMM -0.2280 0.2593 -0.2795 0.375 8 0.6026 155.430000000 3M Company 2015-07-08
2 2015-07-08 09:10:00 ACE -0.4415 0.3521 -0.0374 0.500 4 0.7200 104.460000000 ACE Limited 2015-07-08
3 2015-07-07 09:10:00 AES 1.9821 0.0233 1.1743 1.000 1 1.9445 13.200000000 The AES Corporation 2015-07-07
4 2015-07-04 09:10:00 AFL -2.9335 0.0035 -0.2975 1.000 1 0.8321 61.960000000 AFLAC Inc. 2015-07-04
5 2015-07-07 09:10:00 MMM 0.2977 0.2713 -0.7436 0.400 5 0.4895 155.080000000 3M Company 2015-07-07
6 2015-07-07 09:10:00 ACE -0.2331 0.3519 -0.1118 1.000 3 0.7196 103.330000000 ACE Limited 2015-07-07
7 2015-06-28 09:10:00 AES 1.8721 0.0609 1.9100 0.500 2 2.4319 13.460000000 The AES Corporation 2015-06-28
8 2015-07-03 09:10:00 AFL 0.6024 0.0330 -0.2663 1.000 1 0.6822 61.960000000 AFLAC Inc. 2015-07-03
9 2015-07-06 09:10:00 MMM -1.0057 0.2579 -1.3796 1.000 1 0.4531 155.380000000 3M Company 2015-07-06
10 2015-07-06 09:10:00 ACE -0.0263 0.3435 -0.1904 1.000 2 1.3536 103.740000000 ACE Limited 2015-07-06
11 2015-06-19 09:10:00 AES -1.1981 0.1517 1.2063 1.000 2 1.9427 13.850000000 The AES Corporation 2015-06-19
12 2015-07-02 09:10:00 AFL -0.8247 0.0269 1.8635 1.000 5 2.2454 62.430000000 AFLAC Inc. 2015-07-02
13 2015-07-05 09:10:00 MMM -0.4272 0.3107 -0.7970 0.167 6 0.6003 155.380000000 3M Company 2015-07-05
14 2015-07-04 09:10:00 ACE 0.0642 0.3274 -0.0975 0.667 3 1.2932 103.740000000 ACE Limited 2015-07-04
15 2015-06-17 09:10:00 AES 0.1627 0.1839 1.3141 0.500 2 1.9578 13.580000000 The AES Corporation 2015-06-17
16 2015-07-01 09:10:00 AFL -0.7419 0.0316 1.5699 0.250 4 2.0988 62.200000000 AFLAC Inc. 2015-07-01
17 2015-07-04 09:10:00 MMM -0.5962 0.3484 -1.2481 0.667 3 0.4496 155.380000000 3M Company 2015-07-04
18 2015-07-03 09:10:00 ACE 0.8527 0.3085 0.1944 0.833 6 1.3656 103.740000000 ACE Limited 2015-07-03
19 2015-06-15 09:10:00 AES 0.8145 0.1725 0.2939 1.000 1 1.6121 13.350000000 The AES Corporation 2015-06-15
20 2015-06-30 09:10:00 AFL 0.3076 0.0538 -0.0938 1.000 1 0.7071 61.440000000 AFLAC Inc. 2015-06-30
dput
data <- structure(list(`Date Time` = structure(c(1436361000, 1436361000,
1436274600, 1436015400, 1436274600, 1436274600, 1435497000, 1435929000,
1436188200, 1436188200, 1434719400, 1435842600, 1436101800, 1436015400,
1434546600, 1435756200, 1436015400, 1435929000, 1434373800, 1435669800
), class = c("POSIXct", "POSIXt"), tzone = ""), Subject = c("MMM",
"ACE", "AES", "AFL", "MMM", "ACE", "AES", "AFL", "MMM", "ACE",
"AES", "AFL", "MMM", "ACE", "AES", "AFL", "MMM", "ACE", "AES",
"AFL"), Sscore = c(-0.228, -0.4415, 1.9821, -2.9335, 0.2977,
-0.2331, 1.8721, 0.6024, -1.0057, -0.0263, -1.1981, -0.8247,
-0.4272, 0.0642, 0.1627, -0.7419, -0.5962, 0.8527, 0.8145, 0.3076
), Smean = c(0.2593, 0.3521, 0.0233, 0.0035, 0.2713, 0.3519,
0.0609, 0.033, 0.2579, 0.3435, 0.1517, 0.0269, 0.3107, 0.3274,
0.1839, 0.0316, 0.3484, 0.3085, 0.1725, 0.0538), Svscore = c(-0.2795,
-0.0374, 1.1743, -0.2975, -0.7436, -0.1118, 1.91, -0.2663, -1.3796,
-0.1904, 1.2063, 1.8635, -0.797, -0.0975, 1.3141, 1.5699, -1.2481,
0.1944, 0.2939, -0.0938), Sdispersion = c(0.375, 0.5, 1, 1, 0.4,
1, 0.5, 1, 1, 1, 1, 1, 0.167, 0.667, 0.5, 0.25, 0.667, 0.833,
1, 1), Svolume = c(8L, 4L, 1L, 1L, 5L, 3L, 2L, 1L, 1L, 2L, 2L,
5L, 6L, 3L, 2L, 4L, 3L, 6L, 1L, 1L), Sbuzz = c(0.6026, 0.72,
1.9445, 0.8321, 0.4895, 0.7196, 2.4319, 0.6822, 0.4531, 1.3536,
1.9427, 2.2454, 0.6003, 1.2932, 1.9578, 2.0988, 0.4496, 1.3656,
1.6121, 0.7071), `Last close` = c(155.43, 104.46, 13.2, 61.96,
155.08, 103.33, 13.46, 61.96, 155.38, 103.74, 13.85, 62.43, 155.38,
103.74, 13.58, 62.2, 155.38, 103.74, 13.35, 61.44), `Company name` = c("3M Company",
"ACE Limited", "The AES Corporation", "AFLAC Inc.", "3M Company",
"ACE Limited", "The AES Corporation", "AFLAC Inc.", "3M Company",
"ACE Limited", "The AES Corporation", "AFLAC Inc.", "3M Company",
"ACE Limited", "The AES Corporation", "AFLAC Inc.", "3M Company",
"ACE Limited", "The AES Corporation", "AFLAC Inc."), Date = structure(c(16624,
16624, 16623, 16620, 16623, 16623, 16614, 16619, 16622, 16622,
16605, 16618, 16621, 16620, 16603, 16617, 16620, 16619, 16601,
16616), class = "Date")), .Names = c("Date Time", "Subject",
"Sscore", "Smean", "Svscore", "Sdispersion", "Svolume", "Sbuzz",
"Last close", "Company name", "Date"), row.names = c("1", "2",
"3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14",
"15", "16", "17", "18", "19", "20"), class = "data.frame")
回答1:
Note the warning Maybe you want aes(group = 1). All I've done is add group = 1 to aes for geom_smooth.
ggplot(data.2) +
geom_jitter(aes(value,Svolume, colour=variable),) +
geom_smooth(aes(value,Svolume, colour=variable, group = 1), method=lm, se=FALSE) +
facet_wrap(~variable, scales="free_x") +
labs(x = "Variables", y = "Svolumes")
Some unsolicited advice
You don't need to use
requireandlibrary, one or the other.You only need
aesonceYour example data didn't work - I had to fiddle with it to read it. See How to make a great R reproducible example? for advice.
Here's how I would write the ggplot code:
library(ggplot2)
require(reshape2)
data.2 = melt(data[3:9], id.vars='Svolume')
ggplot(data.2) +
aes(x = value, y = Svolume, colour = variable) +
geom_jitter() +
geom_smooth(method=lm, se=FALSE, aes(group = 1)) +
facet_wrap(~variable, scales="free_x") +
labs(x = "Variables", y = "Svolumes")
来源：https://stackoverflow.com/questions/31410230/multiple-linear-regression-for-a-dataset-in-r-with-ggplot2