Hello, I am measuring a certain variable at given time intervals and different concentrations of a reagent. I would like to make a scatter plot of the values, joined by a line to highlight the temporal measure. I can plot this all right. Now, since I have more than one replicate, I would like to add he error bars. I prepared a dataframe with the mean measures and a column with the standard deviations, but when I run the code, I get the error: ``` Error in `check_aesthetics()`: ! Aesthetics must be either length 1 or the same as the data (20): colour Run `rlang::last_trace()` to see where the error occurred. ``` I am missing something, but what? Thank you
WORKING EXAMPLE ``` measTime = c(1 ,2 ,4 ,24 ,48 ,1 ,2 ,4 ,24 ,48 ,1 ,2 ,4 ,24 ,48 ,1 ,2 ,4 ,24 ,48) conc = c(0.25 ,0.25 ,0.25 ,0.25 ,0.25 ,1.12 ,1.12 ,1.12 ,1.12 ,1.12 ,2.5 ,2.5 ,2.5 ,2.5 ,2.5 ,25 ,25 ,25 ,25 ,25) varbl = c(0.0329999999999999 ,0.27 ,0.0785 ,0.1015 ,-0.193 ,0.048 ,0.113 ,0.1695 ,-0.775 ,0.464 ,-0.257 ,-0.154 ,-0.3835 ,-1.23 ,-0.513 ,1.3465 ,1.276 ,1.128 ,-2.56 ,-1.813) stdDev =c(0.646632301492381 ,0 ,1.77997087991162 ,0.247683265482349 ,0 ,0.282901631902917 ,0 ,0.273086677326693 ,1.03807578400295 ,0 ,0.912213425319609 ,0 ,1.64371621638287 ,2.23203614068709 ,0 ,0.2615396719429 ,0 ,0.54039985196149 ,2.15236180353893 ,0) df = data.frame(Time=measTime, mM=conc, ddC=varbl, SD=stdDev) library(ggplot2) COLS = c("green", "red", "blue", "yellow") ggplot(df, aes(x=Time, y=ddC, colour=mM, group=mM)) + geom_line(aes(x=Time, y=ddC, colour=mM, group=mM)) + geom_errorbar(aes(x=Time, ymin=ddC-SD, ymax=ddC+SD, colour=mM, group=mM), width=.1, colour=COLS) + geom_point(size=6) + scale_colour_manual(values = COLS) + ggtitle("Exposure") + xlab(expression(bold("Time (h)"))) + ylab(expression(bold("Value"))) + geom_hline(aes(yintercept=0)) + theme_classic() ``` ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.