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Say I have a dataset that looks like Location Year GW_Elv MW01 1999 546.63 MW02 1999 474.21 MW03 1999 471.94 MW04 1999 466.80 MW01 2000 545.90 MW02 2000 546.10 The whole dataset is at http://doylesdartden.com/ExampleData.csv and I use the code below to do the graph but I want to do it without MW01. How can I remove MW01?? I'm sure I can do it by SubSeting but I can not figure out how to do it. Thank you David -------------------------------------------------------------- library(ggplot2) My...

...like > > Location Year GW_Elv > MW01 1999 546.63 > MW02 1999 474.21 > MW03 1999 471.94 > MW04 1999 466.80 > MW01 2000 545.90 > MW02 2000 546.10 > > The whole dataset is at http://doylesdartden.com/ExampleData.csv > and I use the code below to do the graph but I want to do it without MW01. > How can I remove MW01?? > > I'm sure I can do it by SubSeting but I can not figure out how to do it. > > Thank you > David > > ---------------------------------------...

...it seems a bit clumsy. In words, I created a new data.frame with "250" in the Chloride vector and "SMCL" in the Detections vector and supplessed one legend. Warning: For my convenience I am using different data.frame names . library(ggplot2) MyData <-read.csv("http://doylesdartden.com/Stats/TimeSeriesExample.csv", sep=",") MyData$Detections <- ifelse(MyData$D_Chloride ==1, "Detected", "NonDetect") dat1 <-? MyData[, c(1, 3, 4, 6)] dat2 <-? dat1[, c(1,2)] dat2$Detections <-? rep("SMCL", nrow(dat2)) dat$Chloride <...

...ls and I was wonder if there was a way to get the CIs? Below is the code I have so far and my data is no the net. Any help would be greatly appreciated. Take Care David ----------------------------- #Load your data. Is located on the web at the address below mydata <- read.csv("http://doylesdartden.com/smoothing.csv", sep=",") mydata <- read.table("x.csv", header=TRUE, sep=",",) attach(mydata) reg1 <- lm(Y_Axis_Parameter~X_Axis_Parameter) par(cex=1) * * * * #Plots the data but makes nondetects a different color and type based on column D_Y_Axi...

...messages: 1: In min.default(c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, : no non-missing arguments to min; returning Inf 2: In max.default(c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, : no non-missing arguments to max; returning -Inf > A copy of the data can be found at www.doylesdartden.com/e/MCNP-pH.csv Any suggestions?? Thank you David [[alternative HTML version deleted]]

...he issue is whenever I use log scale, the sides of the bottom part of the box plots don't plot. I've tried it in RStudio Ver 1.1.419 and R version 3.4.3 and I get the same result. The code and link to my data is below. Thank you for your time David MyData <- read.table("http://doylesdartden.com/ExampleIron.CSV", header=TRUE, sep=",") MyDataIronx <- c("Location", "Iron") MyDataIron <- MyData[MyDataIronx] plot(MyDataIron, notch=TRUE,log = "y",ylim=c(0.01, 100)) [[alternative HTML version deleted]]

...the dotted line / Secondary Maximum Contaminant Level in the legend. Any thoughts? My code is as following and is linked to my data on the net. Thank you in advance David #Loads the ggplot2 package. library(ggplot2) ##This loads your data from your worksheet MyData <-read.csv("http://doylesdartden.com/Stats/TimeSeriesExample.csv", sep=",") #Sets which are detections and nondetects MyData$Detections <- ifelse(MyData$D_Chloride ==1, "Detected", "NonDetect") #does the plot p <- ggplot(data = MyData, aes(x=Year, y=Chloride , col=Detections)) + geom_...

...October 2003 which had info also but all these seem to address "groups" of data. I have some rainfall pH data from Mammoth Cave National Park. The data comes in as one dataset as a table with ten columns (one of each year). I've tried to upload the workspace file at: http://www.doylesdartden.com/e/.RData The code I've used so far to make the notch box plots is: #makes the notched box plot. "data" = the name of the data in R. boxplot(data, notch=TRUE, # Gives the title and axis names main="Graph Title", xlab="X axis label", ylab="Y axis label&q...

...the dotted line / Secondary Maximum Contaminant Level in the legend.? Any thoughts?? My code is as following and is linked to my data on the net. Thank you in advance David #Loads the ggplot2 package. library(ggplot2) ##This loads your data from your worksheet MyData <-read.csv("http://doylesdartden.com/Stats/TimeSeriesExample.csv", sep=",") #Sets which are detections and nondetects MyData$Detections <- ifelse(MyData$D_Chloride ==1, "Detected", "NonDetect") #does the plot p <- ggplot(data = MyData, aes(x=Year, y=Chloride , col=Detections)) + ? geom_...