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Scatter plot Text labels in R

我正在绘制分类变量与连续变量,年龄与吸烟习惯的关系图 Below is the code.

stripchart(Age~Smoke, data = survey_clean_data , pch=16 , col = "blue", method = "jitter" ,main = "AGE VS SMOKE",na.rm = T)

I want to add labels to it like below image, 在此处输入图片说明

I tried several options.. but it is getting written on top of of other.

means = c(paste("mean_Age =",roumean(survey_clean_data[Smoke == "Heavy","Age"],na.rm =T)),
          paste("mean_Age =",mean(survey_clean_data[Smoke == "Never","Age"],na.rm =T)),
          paste("mean_Age =",mean(survey_clean_data[Smoke == "Regul","Age"],na.rm =T)),
          paste("mean_Age =",mean(survey_clean_data[Smoke == "Occas","Age"],na.rm =T)))


text(50,survey_clean_data$Smoke,labels =  means)

DATA: library(MASS) attach(survey)

There are a few problems with your code. The main thing is that you are sending text() four labels (the contents of means ), but a number of y-coordinates equal to the number of data points, since you are sending it survey_clean_data . R tries to equalize these uneven vectors, resulting in the over plotting.

Instead, you might do (data are artificial since you didn't provide any):

stripchart(Age~Smoke, data = survey_clean_data , pch=16 , col = "blue", method = "jitter" ,main = "AGE VS SMOKE",na.rm = T)

means <- aggregate(Age~Smoke, data = survey_clean_data, FUN = mean) # mean of each category
means$y <- 1:4 # add y-coordinates for each category

with(means, text(50, Smoke, labels = sprintf('Mean Age = %0.1f', Age))) # plot text labels on top of stripchart

Result:

在此处输入图片说明

answer give by jdobres worked fine. The below is one more solution.

add ylim=c(0.8,4.2) parameter to the scatterplot. You can adjust these ranges from c(1,4) to c(0.8,4.2). The later one worked for me.

stripchart(Age~Smoke, data = survey_clean_data , pch=16 , col = 634, method = "jitter" ,main = "AGE VS SMOKE",na.rm = T,ylim=c(0.8,4.2))

With the below line you can adjust the vertical height of the text. eg: +0.1, -0.1 etc

text(50,c(1:4)+0.1,means)

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