R 使用ggplot在x轴上显示其他类别
嗨 我正在写我的硕士论文,我正在与情节作斗争。 我想代表每个采样点的幼鱼丰度。 这就是它现在的样子:R 使用ggplot在x轴上显示其他类别,r,ggplot2,categories,R,Ggplot2,Categories,嗨 我正在写我的硕士论文,我正在与情节作斗争。 我想代表每个采样点的幼鱼丰度。 这就是它现在的样子: # Pepraration steps setwd("~/Desktop/TFM/Datos") library(tidyverse) library(vegan) # Import data mydata <- read.csv("~/Desktop/TFM/Datos/Alevins_2020_SUBSET.csv") # Colours c
# Pepraration steps
setwd("~/Desktop/TFM/Datos")
library(tidyverse)
library(vegan)
# Import data
mydata <- read.csv("~/Desktop/TFM/Datos/Alevins_2020_SUBSET.csv")
# Colours
col_Dsar <- "aquamarine"
col_NFRA <- "brown"
col_SFRA <- "chocolate1"
col_NESP <- "brown1"
col_SESP <- "darkgoldenrod1"
# Display data
mydata
Order_NS Site Zone Dsar_ST
1 1 Leucate N_FRA 33.40
2 2 Barcarès 3 N_FRA 57.50
3 3 Barcarès 2 N_FRA 24.38
4 4 Barcarès 1 N_FRA 50.00
5 5 Canet N_FRA 12.33
6 6 Portells S_FRA 36.00
7 7 Roches Bleues S_FRA 38.29
8 8 Port-Vendres S_FRA 11.82
9 9 Banyuls_PN1 S_FRA 2.11
10 10 Banyuls_PN2 S_FRA 4.31
11 11 Banyuls_PN3 S_FRA 0.25
12 12 Banyuls_PN4 S_FRA 11.04
13 13 Banyuls_PN5 S_FRA 1.38
14 14 Banyuls_ZP1 S_FRA 1.75
15 15 Banyuls_ZP2 S_FRA 6.59
16 16 Banyuls_ZPR S_FRA 7.35
17 17 Banyuls_ZP3 S_FRA 4.75
18 18 Banyuls_ZP4 S_FRA 6.75
19 19 Banyuls_PN6 S_FRA 1.92
20 20 Banyuls_PN7 S_FRA 4.08
21 21 Port-Bou Rocks S_FRA 23.33
22 22 Port-Bou Beach S_FRA 11.06
23 23 Garbet N_ESP 19.38
24 24 Selva N_ESP 19.14
25 25 Portixó N_ESP 4.71
26 26 Portaló N_ESP 9.71
27 27 Culip N_ESP 4.72
28 28 Racó ses Ielles N_ESP 0.75
29 29 Cala Bona N_ESP 1.50
30 30 Guillola 2 N_ESP 1.67
31 31 Guillola 1 N_ESP 0.00
32 32 Portlligat N_ESP 3.22
33 33 Caials N_ESP 12.76
34 34 Joncols N_ESP 15.56
35 35 Montjoi N_ESP 20.33
36 36 Roses N_ESP 21.11
37 37 Empuriabrava 2 N_ESP 18.86
38 38 Empuriabrava 1 N_ESP 44.41
39 39 Baix de Cols S_ESP 2.63
40 40 Ferriol S_ESP 4.75
41 41 Pedrosa S_ESP 3.25
42 42 Falaguer S_ESP 4.50
# Plot
myplot <- ggplot(data = alevines, mapping = aes(x = reorder(Site, Order_NS), y = mydata$Dsar_ST)) +
geom_col(show.legend = FALSE,
fill = col_Dsar, colour = "black", size = 0.1) +
geom_hline(yintercept = mean(mydata$Dsar_ST),
linetype = "dashed", color = "grey") +
labs(x = "Site", y = "Settlers density \n (individuals / 100 m of transect)") +
theme(axis.text.x = element_text(angle = 90, hjus = 1, vjust = 0.5),
axis.title.x = element_text(face = "bold"),
axis.title.y = element_text(face = "bold")) +
scale_y_continuous(limits = c(0, 60), expand = c(0, 0))
myplot
#清洗步骤
setwd(“~/Desktop/TFM/Datos”)
图书馆(tidyverse)
图书馆(素食主义者)
#导入数据
mydata我想我知道你在说什么:你在寻找类似于Excel数据透视图在以多种方式分割数据时在x轴上显示的多行的东西,对吗?我不知道有什么方法可以在R中做到这一点,而不需要大量的黑客解决方法。相反,您是否考虑过使用小倍数来表示数据?下面是一个数据的小倍数示例,仍然使用ggplot2
。我还使用scale\u y\u continuous
调用中的expand=
删除了0和水平轴之间的额外空间
我使用的数据:
alevines <- data.frame(Order_NS = 1:6,
Site = c("Leucate", "Barcares", "Barcares", "Barcares",
"Canet", "Portells"),
Zone = c(rep("N_FRA", 5), "S_FRA"),
Transect..m. = c(500, 160, 160, 160, 430, 400),
Dsar_TOT = c(167, 92, 39, 80, 53, 144),
Dsar_ST = c(33, 57, 24, 50, 12, 36))
一个值得关注的提示:您的意思是在同一地点(如Barcares)进行多次观测时添加数据吗?如果没有,您可以尝试这样做,用ObservationID
替换数据中的其他唯一标识符
alevines$ObservationID <- 1:nrow(alevines)
ggplot(alevines, aes(x = reorder(Site, Order_NS), group = ObservationID,
y = Dsar_ST, fill = "red")) +
geom_col(show.legend = FALSE, position = "dodge",
fill = col_Dsar, colour = "black", size = 0.1) +
geom_hline(yintercept = mean(alevines$Dsar_ST),
linetype = "dashed", color = "grey") +
labs(x = "Site", y = "Settlers density \n (individuals / 100 m of transect)") +
theme(axis.text.x = element_text(angle = 90, size = 16, hjus = 1, vjust = 0.5),
axis.title.x = element_text(face = "bold", size = 16),
axis.title.y = element_text(face = "bold", size = 16)) +
scale_y_continuous(limits = c(0, 60), expand = c(0, 0)) +
facet_wrap(~ Zone, scales = "free")
alevines$ObservationID最简单的方法是简单地用对应于分区的填充物绘制条形图:
library(tidyverse)
alevines <- tribble(~Order_NS, ~Site, ~Zone, ~Transect..m., ~Dsar_TOT, ~Dsar_ST,
1, "Leucate", "N_FRA", 500, 167, 33.40,
2, "Barcarès 3", "N_FRA", 160, 92, 57.50,
3, "Barcarès 2", "N_FRA", 160, 39, 24.38,
4, "Barcarès 1", "N_FRA", 160, 80, 50.00,
5, "Canet", "N_FRA", 430, 53, 12.33,
6, "Portells", "S_FRA", 400, 144, 36.00)
col_Dsar <- "aquamarine"
pDsar <- ggplot(data = alevines, mapping = aes(x = reorder(Site, Order_NS),
y = Dsar_ST,
fill = Zone)) +
geom_col(show.legend = FALSE, colour = "black", size = 0.1) +
geom_hline(yintercept = mean(alevines$Dsar_ST),
linetype = "dashed", color = "grey") +
labs(x = "Site", y = "Settlers density \n (individuals / 100 m of transect)") +
theme(axis.text.x = element_text(angle = 90, size = 16, hjus = 1, vjust = 0.5),
axis.title.x = element_text(face = "bold", size = 16),
axis.title.y = element_text(face = "bold", size = 16)) +
ylim(0, 60)
pDsar
最后,通过annotation\u custom()
和grid
游戏,您可能会得到更好的效果,但我找不到如何轻松实现。你好,vandalaiza。你能分享你的数据吗,或者它的一个样本?我能显示标题,够了吗?我刚刚编辑了评论。嘿,亚历克斯洛克,首先,谢谢你抽出时间!我不能改变酒吧填充,我需要他们的颜色,因为我有更多的物种来绘图。第二个选择是工作得更好一点,但我不喜欢我得到一个传奇。有没有办法把图例文字放在瓷砖上?如何更改R分配给瓷砖的颜色?您可以将show.legend=FALSE
添加到geom\u瓷砖()
,就像使用geom\u col()
一样。要更改颜色比例,请使用scale\u fill_*()
和*手动、brewer或您喜欢的其他工具。要添加文本,您可以使用geom_text()
,例如geom_text(aes(y=-2,color=Zone,label=Zone),show.legend=FALSE)
(在这种情况下,您可以使用scale_color*()
)控制颜色。酷!我快到了,但还有两件事要做:(1)我似乎无法控制哪个区域采用哪种颜色。我尝试了limits=alevines$Zone
,但我得到一个错误,我需要42种颜色(这是站点的数量),但我只指定了4种。(2) 我试着这样做是为了文本:geom_文本(aes(y=-1.5,color=“black”,label=Zone),show.legend=FALSE)
但首先它不是黑色的(我说我想要和Zone相同的颜色,但我改变了主意:D),它出现了42次,每个站点一次。我想把它放在瓦片中间,黑色。对于颜色,取<代码>颜色=“黑色”<代码> > <代码> AES()>代码>:它不是映射。只在一组栏中只有一次,我不知道如何简单地用<代码> GeOMGTeX()/代码>,您可以用“代码”来定义“手动”,用“代码>注释No.* /代码>(只在指定的地方绘制矩形和文本,而不是如何指定数据,这对于每个<代码>站点<代码>都是一次)。我现在觉得自己很愚蠢。好的,我设法将其更改为黑色,但我将尝试使用注释*(),尽管对我来说这似乎是一个相当困难的函数。否则我会在以后添加它,最后只有四个文本框,不值得为此疯狂。我不知道如何解决我之前评论中的问题(1)?嘿,Shirewoman 2,我真的很感谢你花时间帮助我:)我也不是Excel专家,所以你说的话很混乱,我无法确认。要是我能放张照片就好了!但我首先需要一个更好的声誉显然啊哈第一个情节不,我希望3个Barcares网站分开。无论如何,第二个情节这是个好主意,但我已经尝试过了。。问题是,我只是用一个y轴绘制一个图,而不是每个区域一个。。此外,我想为轴心文字或任何东西添加颜色,但每个区域只添加一种颜色。
library(tidyverse)
alevines <- tribble(~Order_NS, ~Site, ~Zone, ~Transect..m., ~Dsar_TOT, ~Dsar_ST,
1, "Leucate", "N_FRA", 500, 167, 33.40,
2, "Barcarès 3", "N_FRA", 160, 92, 57.50,
3, "Barcarès 2", "N_FRA", 160, 39, 24.38,
4, "Barcarès 1", "N_FRA", 160, 80, 50.00,
5, "Canet", "N_FRA", 430, 53, 12.33,
6, "Portells", "S_FRA", 400, 144, 36.00)
col_Dsar <- "aquamarine"
pDsar <- ggplot(data = alevines, mapping = aes(x = reorder(Site, Order_NS),
y = Dsar_ST,
fill = Zone)) +
geom_col(show.legend = FALSE, colour = "black", size = 0.1) +
geom_hline(yintercept = mean(alevines$Dsar_ST),
linetype = "dashed", color = "grey") +
labs(x = "Site", y = "Settlers density \n (individuals / 100 m of transect)") +
theme(axis.text.x = element_text(angle = 90, size = 16, hjus = 1, vjust = 0.5),
axis.title.x = element_text(face = "bold", size = 16),
axis.title.y = element_text(face = "bold", size = 16)) +
ylim(0, 60)
pDsar
ggplot(data = alevines, mapping = aes(x = reorder(Site, Order_NS), y = Dsar_ST, fill = "red")) +
geom_col(show.legend = FALSE,
fill = col_Dsar, colour = "black", size = 0.1) +
geom_hline(yintercept = mean(alevines$Dsar_ST),
linetype = "dashed", color = "grey") +
geom_tile(aes(y=-1, fill=Zone),height=2) +
labs(x = "Site", y = "Settlers density \n (individuals / 100 m of transect)") +
theme(axis.text.x = element_text(angle = 90, size = 16, hjus = 1, vjust = 0.5),
axis.title.x = element_text(face = "bold", size = 16),
axis.title.y = element_text(face = "bold", size = 16)) +
ylim(-2, 60)