![]() ![]() ![]() The lower scatter plots graph blood pressure (diastolic and systolic) against weight. The first plot shows blood pressure and weight progressing over time for all participants. A 10-year study provided data on how age, blood pressure, and smoking related to the risk of. It uses the layout() command to arrange multiple plots on a single graphics surface that is displayed in one section of the script's report. To do so before entering any data into Excel spread sheet. This script uses the standard R libraries to display multiple plots in the same section of a report. Ylab= "Temperature (Degrees C)", mfg= c(2, 2))Ībline(lsfit(data_means$diastolicbloodpressure, data_means$temp))Įxample: Three Plots in a Single Section: Using layout() Ylab= "Pulse Rate (Beats/Minute)", mfg= c(1, 2))Ībline(lsfit(data_means$diastolicbloodpressure, data_means$pulse))Ĭ21 <- plot(data_means$diastolicbloodpressure, data_means$temp, , Ylab= "Systolic Blood Pressure (mm Hg)", mfg= c(2, 1))Ībline(lsfit(data_means$diastolicbloodpressure, data_means$systolicbloodpressure))Ĭ21 <- plot(data_means$diastolicbloodpressure, data_means$pulse, , Xlab= "Diastolic Blood Pressure (mm Hg)", Xlab= "Diastolic Blood Pressure (mm Hg)", ylab= "Weight (kg)",Ībline(lsfit(data_means$diastolicbloodpressure, data_means$weight))Ĭ21 <- plot(data_means$diastolicbloodpressure, data_means$systolicbloodpressure, , Op <- par(mfcol = c(2, 2)) # 2 x 2 pictures on one plotĬ11 <- plot(data_means$diastolicbloodpressure, data_means$weight, , Labkey.data$participantid), mean, na.rm = TRUE) Ĭairo(file= "$", type= "png") Data_means <- aggregate(labkey.data, list(ParticipantID = ![]()
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