Dear Bert and Jim,
Here is the code:
data <- read.table("CLMX.txt", col.names = c("year", "month", "day", "CLMX"))
new.century <- data$year < 50
data$year <- ifelse(new.century, data$year + 2000, data$year + 1900)
data$date <- as.Date(ISOdate(data$year, data$month, data$day))
x1 = data$date
L
Dear Jim and Bert,
Thank your for looking into this for me. I will try to reproduce a
part of my data and the plot I have.
Data 1:
53 01 02 -1.28792560381641
53 01 06 -1.1854773963453
53 01 08 -1.55920165458006
53 01 15 -1.29196482429683
53 01 20 -1.06082194329819
53 01 22 -1.15430411152234
53 01
I think you will need to show us your code to get useful help (see the
posting guide). A small subset of your data and a reprex may also be
needed. R has several different graphics systems, and the answer depends on
which you are using. In base graphics, the axis() function (see its Help
page) may
Thank you so much for your help.
Philip
On 2019-08-25 03:54, Rui Barradas wrote:
Hello,
The code in Eric's answer works, but maybe it's better to redo the
'col' code.
It's much simpler to create a factor with appropriate labels. Then,
the values argument in scale_fill_manual can be set more
Hi Ogbos,
Hope things are going well for you. Perhaps this is what you want:
date_x1<-seq(as.Date("1953-01-02"),as.Date("2006-11-15"),length.out=8)
value_x1<-sample(1000:5000,8)
date_x2<-seq(as.Date("1957-07-26"),as.Date("1994-07-17"),length.out=6)
value_x2<-sample(0:1000,6)
plot(date_x1,value_x1,
Hello,
The code in Eric's answer works, but maybe it's better to redo the 'col'
code.
It's much simpler to create a factor with appropriate labels. Then, the
values argument in scale_fill_manual can be set more naturally, it can
depend on col.
(I have also added a theme to make the axis labe
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