similar to: Combining several mappings in ggplot2

Hello, I am new useR, I have written some functions, which I currently use by "source"-ing them from the files. That's OK, but when I my functions start counting in the tens and hundreds I'd be glad to be able to type "help.search("my_obscure_fun")" and get a sensible reply. I also want to be able to load them as a package at startup and not have to

Hello, I am importing some raw voltage multichannel measurements into an R data frame. I need to scale each column with the respective sensitivity for that channel. I figured how to do it, but I am curious if there isn't a more elegant way. Now I start with something like this: rawdata <- data.frame(rbind(c(1,2,3), c(4,5,6))) sens <- c(2,4,6) and I do this: data <-

?s 17:43 de 18/07/2024, Rui Barradas escreveu: > ?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: >> Hi >> >> I am using ggplot to visualise y for a two-factorial group (Bio: 0 and >> 1) x >> = 6 years. I was able to adapt the colour of the lines (green and red) >> and >> the linetype (solid and dashed). >> Challenge: my code

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 +

?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: > Hi > > I am using ggplot to visualise y for a two-factorial group (Bio: 0 and 1) x > = 6 years. I was able to adapt the colour of the lines (green and red) and > the linetype (solid and dashed). > Challenge: my code produces now two legends. One with the colors for the > group and one with the linetype for the

Hi I am using ggplot to visualise y for a two-factorial group (Bio: 0 and 1) x = 6 years. I was able to adapt the colour of the lines (green and red) and the linetype (solid and dashed). Challenge: my code produces now two legends. One with the colors for the group and one with the linetype for the group. Does somebody have a hint how to adapt the code to produce one legend? Group 0 = red and

If I follow your question, you want redundant aesthetics. Ggplot normally notices correlated aesthetic mapping variables and merges the legends, so the most likely answer is that your data are not fully correlated in all rows. I have also seen this where data are drawn from different dataframes for different layers since it is hard to merge factors, but I don't see that here. You are using

Hello, I have a data frame with a factor column, which uniquely identifies the observations in the data frame and it looks like this: sample1_condition1_place1 sample2_condition1_place1 sample3_condition1_place1 . . . sample3_condition3_place3 I want to turn it into three separate factor columns "sample", "condition" and "place". This is what I did so far: #

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, colour = "Humidity",

Hello! I am working with signals and a plot of several signals on the same axes can get quite messy. With lines that are very fractured, distinction by only the linestyle is not very clear. If I add symbols to the plot however, there are so many symbols, that they overplot and the whole plot is unreadable once again. I am looking for advice on how to make a plot with continuous lines and symbols

Hi Your approach seems to me rather complicated. I would reshape data before plotting and maybe also change order of levels in resulting variable factor library(reshape2) dfm<-melt(df) dfm$variable<-factor(dfm$variable, levels=levels(dfm$variable)[c(2,1,3,4)]) p2<-ggplot(dfm, aes(x=rep(1:2,4), y=value)) p2+geom_line(aes(linetype=variable))+

Hi, I ran your code, but the results were not as expected. After I ran the code by "source", it return No id variables; using all as measure variables > p2 and no line or legend is on the graph (as attached) Am I doing anything wrong? John library(ggplot2) library(reshape2) dfm<-melt(df) dfm$variable<-factor(dfm$variable, levels=levels(dfm$variable)[c(2,1,3,4)])

Hi, I'd like to graph three lines on ggplot2 and I intend the lines to be "solid", "dashed", and "dotted". The legend names are "name_b", "name_a", "name_c". I'd like to legend to present in the order: the "name_b" at the top, and "name_c" at the bottom. As a consequence, the legend is indeed in the order:

Hi, I'd like to graph three lines on ggplot2 and I intend the lines to be "solid", "dashed", and "dotted". The legend names are "name_b", "name_c", "name_a". I'd like to legend to present in the order: the "name_b" at the top, and "name_a" at the bottom. Could it be done by order function or its inverse?

Hello, I have the following sample dataset. sex <- as.factor(c(rep(0,12),rep(1,12))) char <-

Hi All, Will try and keep brief, excuse the poor graphics skills, first time using GIMP. I would like to make the first one look (somewhat) like the second if possible. From: http://d.imagehost.org/0519/Screen_shot_2010-12-08_at_3_50_23_PM.png To here: http://d.imagehost.org/0293/Screen_shot_2010-12-08_at_3_50_23_PM2.png I imagine the line going over the top with the p-values is probably not

Hi to the list, I am trying to find a way to painlessly move structured data back and forth between R and Matlab (also Octave). For this purpose I found the R.matlab package great help. I wish to use a Matlab -v6 MAT file as an intermediary format, because it is well read by both Matlab and Octave. It is also well read by 'readMat' function in R.matlab package, but that is where I run

hi all ,? i have an problem in script R . But when I execute the script R I face this error . can you help me please ???error:----------------------------------------- Error in FUN(X[[i]], ...) :?? Theme element 'text' has NULL property: margin, debugIn addition: Warning messages:1: Removed 361 rows containing non-finite values (stat_smooth).?2: Removed 361 rows containing missing values

There are two key concepts you seem to be unaware of regarding ggplot: 1) you really need to put your data in long format to work with multiple curves, and 2) the column containing the names of the curves should be a factor with levels in the order you wish them to be presented in the legend (bottom to top). I am not in a position at the moment to give you a full reprex, but Google can probably

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 example, can I make the red line with the linetype "twodash", while the blue line with the