使用geom_text整理geom_point上的文本

Question

我有一些線條圖，有些時間點難以單獨用顏色區分，因此我想標記圖上的時間點，但標籤重疊（請參見下圖）以難以閱讀標籤的方式。

該地塊目前這個樣子，

我不知道是否有辦法「堆」的標籤或某種方式（腳本），可以確保它們不重疊。事情是這樣的，

任何幫助，將不勝感激。

這裏是我用來製造陰謀的代碼，

require(ggplot2) 
require(plyr) 
require(reshape) 

# create sample data 
set.seed(666) 
dfn <- data.frame(
Referral = seq(as.Date("2007-01-15"), len= 26, by="23 day"), 
VISIT01 = seq(as.Date("2008-06-15"), len= 24, by="15 day")[sample(30, 26)], 
VISIT02 = seq(as.Date("2008-12-15"), len= 24, by="15 day")[sample(30, 26)], 
VISIT03 = seq(as.Date("2009-01-01"), len= 24, by="15 day")[sample(30, 26)], 
VISIT04 = seq(as.Date("2009-03-30"), len= 24, by="60 day")[sample(30, 26)], 
VISIT05 = seq(as.Date("2010-11-30"), len= 24, by="6 day")[sample(30, 26)], 
VISIT06 = seq(as.Date("2011-01-30"), len= 24, by="6 day")[sample(30, 26)], 
Discharge = seq(as.Date("2012-03-30"), len= 24, by="30 day")[sample(30, 26)], 
Patient = factor(1:26, labels = LETTERS), 
openCase = rep(0:1, 100)[sample(100, 26)]) 

# set today's data for cases that do not have an Discharge date 
dfn$Discharge[ is.na(dfn$Discharge) ] <- as.Date("2014-01-30") 

mdfn <- melt(dfn, id=c('Patient', 'openCase'), variable_name = "Visit") 
names(mdfn)[4] <- 'Year' # rename 

# order data in mdfn by 'Referral' in dfn 
mdfn$Patient <- factor(mdfn$Patient,levels = 
(dfn$Patient[order(dfn$Referral)]),ordered = TRUE) 

# subset a dataset to avoid 'Discharge' for cases that are not closed 
mdfn2 <- subset(mdfn,!(Visit=="Discharge" & Year > as.Date("2014-01-01"))) 

# the plot as it looks now 
ggplot(mdfn, aes(Year, Patient)) + 
    geom_blank() + 
    geom_line(data = mdfn[mdfn$openCase == 0,], colour = "black") + 
    geom_line(data = mdfn[mdfn$openCase == 1,], colour = "grey") + 
    geom_point(data = mdfn2, aes(colour = Visit), size = 4, shape = 124) + 
    geom_text(data=mdfn2, mapping=aes(x=Year, y=Patient, 
    label=substr(Visit, 1, 7), colour=Visit), size=2, 
    vjust=-.4, hjust=-.1, angle = 00) 

Answer 1

您可以根據訪問的數值更改標籤的垂直位置。

的關鍵是：

y=(as.numeric(Patient)+0.25*as.numeric(Visit)%%3)-0.12 

這目前生產：根據（%% 3）訪問的值，這可以增加或減少
每個水平通過四分之一分離
3個不同層次Y標誌（0.25）
第一個標籤是0.12水平線
第二下面之間的距離爲0.12以上

require(ggplot2) 
require(plyr) 
require(reshape) 
# create sample data 
set.seed(666) 
dfn <- data.frame(
    Referral = seq(as.Date("2007-01-15"), len= 26, by="23 day"), 
    VISIT01 = seq(as.Date("2008-06-15"), len= 24, by="15 day")[sample(30, 26)], 
    VISIT02 = seq(as.Date("2008-12-15"), len= 24, by="15 day")[sample(30, 26)], 
    VISIT03 = seq(as.Date("2009-01-01"), len= 24, by="15 day")[sample(30, 26)], 
    VISIT04 = seq(as.Date("2009-03-30"), len= 24, by="60 day")[sample(30, 26)], 
    VISIT05 = seq(as.Date("2010-11-30"), len= 24, by="6 day")[sample(30, 26)], 
    VISIT06 = seq(as.Date("2011-01-30"), len= 24, by="6 day")[sample(30, 26)], 
    Discharge = seq(as.Date("2012-03-30"), len= 24, by="30 day")[sample(30, 26)], 
    Patient = factor(1:26, labels = LETTERS), 
    openCase = rep(0:1, 100)[sample(100, 26)]) 

# set today's data for cases that do not have an Discharge date 
dfn$Discharge[ is.na(dfn$Discharge) ] <- as.Date("2014-01-30") 

mdfn <- melt(dfn, id=c('Patient', 'openCase'), variable_name = "Visit") 
names(mdfn)[4] <- 'Year' # rename 

# order data in mdfn by 'Referral' in dfn 
mdfn$Patient <- factor(mdfn$Patient,levels = 
    (dfn$Patient[order(dfn$Referral)]),ordered = TRUE) 

# subset a dataset to avoid 'Discharge' for cases that are not closed 
mdfn2 <- subset(mdfn,!(Visit=="Discharge" & Year > as.Date("2014-01-01"))) 

# the plot as it looks now 
ggplot(mdfn, aes(Year, Patient)) + 
    geom_blank() + 
    geom_line(data = mdfn[mdfn$openCase == 0,], colour = "black") + 
    geom_line(data = mdfn[mdfn$openCase == 1,], colour = "grey") + 
    geom_point(data = mdfn2, aes(colour = Visit), size = 4, shape = 124) + 
    geom_text(data=mdfn2, mapping=aes(x=Year, y=(as.numeric(Patient)+0.25*as.numeric(Visit)%%3)-0.12, 
            label=substr(Visit, 1, 7), colour=Visit), size=2, 
      hjust=-.1, angle = 00)