我在创建图形脚本时需要帮助。信息如下:
我有此虚拟数据
table <- data.frame(ind = c("Ind1","Ind1","Ind1","Ind1","Ind1","Ind1","Ind2",
"Ind2","Ind2","Ind3","Ind3","Ind3","Ind3","Ind4",
"Ind4","Ind4","Ind5","Ind5","Ind5","Ind5","Ind5",
"Ind5"),
photo = c("55", "62", "63", "65", "70", "97", "100", "105",
"109", "72", "74", "76", "101", "140", "150", "170",
"168", "172", "182", "185", "189", "194"),
data = c("jan/17", "mar/17", "mar/17", "apr/17",
"jun/17", "oct/17", "dec/17", "apr/18",
"may/18", "aug/17", "sep/17", "sep/17",
"dec/17", "aug/18", "nov/18", "feb/19",
"jan/19", "feb/19", "mar/19", "mar/19",
"mar/19", "jul/19"))
并且我想生成一个这样的图形,其中包含个人名称x会议日期。我希望根据当月存在的照片数量以及该符号上方的照片数量来选择符号的大小(like this)。
[我在互联网上发现的所有内容都使用具有两列(起始x和最终x)的数据框,即here。我真的需要分成几列吗?以及如何处理中间值?
您可以使用as.yearmon
包中的zoo
编码月/年数据。
要计算每月的照片数量,请选择group_by
和summarise
。
要绘制线段,将创建第二个数据表以指定最小和最大日期。
library(zoo)
library(ggplot2)
library(dplyr)
my_table$ind <- factor(my_table$ind)
my_table$mo_yr <- as.yearmon(my_table$data, "%b/%y")
my_table_sum <- my_table %>%
group_by(mo_yr, ind) %>%
summarise(count = n())
my_table_range <- my_table_sum %>%
group_by(ind) %>%
summarise(min = min(mo_yr),
max = max(mo_yr))
ggplot(data = my_table_sum, aes(x = mo_yr, y = ind)) +
scale_x_yearmon() +
geom_point(aes(size = count)) +
geom_text(aes(label = ifelse(count > 1, as.character(count), '')), vjust = -1) +
scale_size_continuous(range = c(1, 3), breaks = c(1,2,3)) +
geom_segment(data = my_table_range, aes(x = min, xend = max, y = ind, yend = ind)) +
theme(axis.title.x=element_blank(), axis.title.y=element_blank(), legend.position="none")
Edit:为在x轴刻度和标签上提供更大的灵活性,您可能希望使用scale_x_date
而不是scale_x_yearmon
(不需要包装zoo
)。
scale_x_date
将允许在每个标签中指示休息时间(每3个月)以及标签上您想要的内容(现在是月份和4位数字年份,例如,2019年3月)。
而不是将data
转换为yearmon
(月/年),我们只能使用Date
(转换时使用每月的第一天)。
也在情节周围增加了很小的余量。
#library(zoo)
library(ggplot2)
library(dplyr)
my_table$ind <- factor(my_table$ind)
#my_table$mo_yr <- as.yearmon(my_table$data, "%b/%y")
my_table$dates <- as.Date(paste0("1/", my_table$data), format = "%d/%b/%y")
my_table_sum <- my_table %>%
group_by(dates, ind) %>%
summarise(count = n())
my_table_range <- my_table_sum %>%
group_by(ind) %>%
summarise(min = min(dates),
max = max(dates))
ggplot(data = my_table_sum, aes(x = dates, y = ind)) +
scale_x_date(date_breaks = "3 months", date_labels = "%b %Y") +
geom_point(aes(size = count)) +
geom_text(aes(label = ifelse(count > 1, as.character(count), '')), vjust = -1) +
scale_size_continuous(range = c(1, 3), breaks = c(1,2,3)) +
geom_segment(data = my_table_range, aes(x = min, xend = max, y = ind, yend = ind)) +
theme(axis.title.x=element_blank(), axis.title.y=element_blank(), legend.position="none",
plot.margin=unit(c(1,1,1,1),"cm"))