Hi
Your statement about attaching data is problematic. We cannot do much with it.
Instead use output from dput(yourdata) to show us what exactly your data look
like.
We also do not know how do you want to split your data. It would be nice if you
can show also what should be the bins with respe
One additional comment. If you want 0 instead of NA when there is no match
then the match statement should read:
match_list <- match( data_2$data1, data_2$data2, nomatch=0)
On Fri, Oct 13, 2017 at 7:39 AM, Eric Berger wrote:
> Combining and completing the advice from Greg and Boris the comple
Thanks, Eric! It works well.
2017-10-12 9:13 GMT-07:00 Eric Berger :
> Hi John,
> You can try the following:
>
> override.linetype=c("twodash","solid")
> p <- ggplot(obs, aes(x = Timestamp))
> p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype
> ="Temperature"))
> p <- p + geom
Combining and completing the advice from Greg and Boris the complete
solution is two lines:
data_2 <- read.csv("excel_data.csv", stringsAsFactors = FALSE)
match_list <- match( data_2$data1, data_2$data2 )
The vector match_list will have the matching position when it exists and
NA's otherwise. Its
Jeff,
Did you ever get this resolved?
I m having the same problem with igraph.
Paul
__
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
Hi
Instead of ...
ggsave("test_plot_chinese.pdf", m2)
... try ...
cairo_pdf("test_plot_chinese.pdf")
print(m2)
dev.off()
Paul
On 13/10/17 02:12, John wrote:
I install the Chinese font "Kaiti TC" on my mac, but I can't print the
figures to pdf file by "marrangeGrob" command, which is in the
It's generally a very good idea to examine the structure of data after you have
read it in. str(data2) would have shown you that read.csv() turned your strings
into factors, and that's why the == operator no longer does what you think it
does.
use ...
data_2 <- read.csv("excel_data.csv", strin
The error is because the read.csv function converted both columns to
factors. The simplest thing to do is to set stringsAsFactors=FALSE is
the call to read.csv so that they are compared as strings. You could
also call as.character on each of the columns if you don't want to
read the data in again
Hi,
I have two columns that contain numbers along with letters (as shown below)
and have different lengths. Each entry in the first column is likely to be
found in the second column at most once.
For each entry of the first column, if that entry is found in the second
column, I would like to get
Hi Lisa,
I'm not sure exactly what sort of plot you want, but this may help:
rcol<-matrix(c(1,0,3,1,0,4,0,0,1,0,5,6),ncol=4,byrow=TRUE)
# replace zeros with NAs as there is no numeric color for zero
rcol[rcol==0]<-NA
library(plotrix)
color2D.matplot(rcol,cellcolors=rcol,yat=1:3)
Jim
On Fri, Oct
> On Oct 12, 2017, at 1:17 AM, Hemant Sain wrote:
>
> Hello,
> I'm working on RFM analysis and i wanted to define my own breaks but my
> frequency distribution is not normally distributed so when I'm using
> quartile its not giving the optimal results.
> so I'm looking for a better approach wher
Hello,
I am an absolutely beginner with regards to R, so forgive me for my
potentially very stupid questions.
I have been attempting to create recurrence plots using R. The data I am
using is based on a mutually exclusive and exhaustive coding scheme with
over 40 individual codes which can be ass
Hi John,
You can try the following:
override.linetype=c("twodash","solid")
p <- ggplot(obs, aes(x = Timestamp))
p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype
="Temperature"))
p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity",
linetype="Humidity"))
p <- p +
guides(co
I install the Chinese font "Kaiti TC" on my mac, but I can't print the
figures to pdf file by "marrangeGrob" command, which is in the package
"gridExtra". Error message after I type "ggsave(..)" (last line of the
program):
"Saving 7.47 x 5.15 in image
Error in grid.Call.graphics(L_text, as.gra
Hello,
I'm working on RFM analysis and i wanted to define my own breaks but my
frequency distribution is not normally distributed so when I'm using
quartile its not giving the optimal results.
so I'm looking for a better approach where i can define breaks dynamically
because after visualization i c
Sorry let me clarify.
If I modify the line
p <- p + geom_line(aes(y = air_temp, colour = "Temperature"))
by
p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype
="Temperature"))
and
p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity"))
by
p <- p + geom_line(aes(y = rel_hum/5
Hi,
To my knowledge, an excellent of ggplot with a second y-axis is
https://rpubs.com/MarkusLoew/226759
In this example, the author uses two colors for the two lines, but the
line shapes are the same -- both are solid. Could each line have its own
color as well as its own shape? For exampl
17 matches
Mail list logo