I cannot see either your data or your picture. Does the following dataset
along with your ggplot command give a similar picture?
TS <- data.frame(Well=paste0("Well",rep(1:21,each=3)),
LOCATION=paste0("Loc",rep(LETTERS[1:7],each=9)),
Date=as.POSIXct(paste(sep="-", 2015, 10, rep(c(11,18,25),21))),
HYDRAULIC_HEAD.cm.=100*(log2(1:63)+sin(1:63)+1))
If so, then describe what you mean by 'dense'. I prefer finer lines,
like those produced by geom_line(size=0), but I don't know if that
is what you mean by dense..
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Sun, Dec 6, 2015 at 1:18 PM, DJ L <rhel...@gmail.com> wrote:
> Hello R users!
>
> Any idea why this looks so dense? Should be line graphs. Looks fine in
> excel. The csv file is four columns, first date, second well number, 3
> well location (ditch or interior), and then the last column is hydraulic
> head. Thank you! I have attached a photo and the R code I am using.
>
> setwd("c:/users/dot/desktop/r")
>
> TS<-read.csv("TS_EAV1_SANDY.csv", header=TRUE,
> sep=",",stringsAsFactors=FALSE)
>
> # CHECK
>
> head(TS)
>
> str(TS)
>
> #FORMAT DATE AND TIME
>
> TS$Date <- as.POSIXct(TS$Date, tz = "", origin = "2012/10/22 0:00")
>
> # CHECK
> str(TS)
>
> library(ggplot2)
> library(scales)
>
> #PLOT
>
> xytheme <- theme(panel.background = element_blank(),
> panel.grid.major.y = element_line(colour = "grey"),
> panel.grid.minor.y = element_blank(),
> panel.grid.major.x = element_line(colour = "grey"),
> panel.grid.minor.x = element_blank(),
> panel.border = element_rect(color = "black", fill = NA),
> axis.text = element_text(color = "black", size = rel(1)),
> legend.title = element_blank())
>
> ###THIS ONE WORKS###
>
> ggplot(TS, aes(Date, HYDRAULIC_HEAD.cm., group = Well)) +
> facet_grid(LOCATION~.) +
> geom_line(size=1) + xytheme +
> labs(x = "EAV1",y = "Water Levels, cm")+
> scale_x_datetime(breaks = date_breaks("2 days"), labels =
> date_format("%m/%d/%y"))
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