similar to: ggplot2: goem_smooth and suppress messages

Readers, For a data set: text1,23,text2,45 text1,23,text3,78 text1,23,text3,56 text1,23,text2,45 The following command was entered: datasubset<-data.frame(dataset[,3]=="text3") The result of datasubset is TRUE TRUE The required result is text1,23,text3,78 text1,23,text3,56 What is the correct command to use please? Thanks in advance.

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

Colleagues, Here is my reproducible code for a graph using geom_smooth set.seed(55) scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) library(ggplot2) library(cowplot) ggplot(scatter_data,aes(x=x_var,y=y_var))+ ? geom_point()+ ? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+

Hi R - listers, I am receiving an error. Does anyone know what this means? J ggplot(subset(foo, Rayos != "Rayos.NA"), aes(x=HTL, y=DevelopIndex, colour=TotalEggs)) +geom_point() +geom_jitter() + facet_grid(Aeventexhumed ~ Rayos) + geom_smooth(method="lm", fill=NA) + ylim(c(0, 7)) Error in +geom_smooth(method = "lm", fill = NA) : invalid argument to unary

Dear Helpers, I wonder whether you might be able to help me. I have a plot composed of ggplot (and a follow on geom_smooth call). I would like to restrict the display range of the y axis to a smaller range, a sort of zooming onto a region. I attempted to use ylim, but it will effect the range (i.e. effect the geom_smooth call). Is there any way that I can save the results up to geom_smooth call

?s 05:17 de 12/08/2023, Thomas Subia via R-help escreveu: > Colleagues, > > Here is my reproducible code for a graph using geom_smooth > set.seed(55) > scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) > ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) > > library(ggplot2) > library(cowplot) > > ggplot(scatter_data,aes(x=x_var,y=y_var))+

Hello, I's still working with my tsibble of weight data for the last 20 years. In addition to drawing an overall trend line, using lm, for the whole data set, I'd like to draw short lines that would recompute lm and draw it, say, just for the years from 2010:2015. Here's a short example that I think illustrates what I'm trying to do. The commented out sections show what

Here is some sample data: mydata <- read.table(textConnection("Est Group Tri 0 0 4.639644 1 0 4.579189 2 0 4.590714 0 1 4.443696 1 1 4.588243 2 1 4.650505 0 2 4.296608 1 2 4.826036 2 2 4.765386"),header=TRUE); closeAllConnections(); I can form two plots,

Can anyone illuminate the following for me? How can I get rid of the blue line in the key in the second plot? ## Create a simple data frame df=data.frame(x=1:1000, y=2*1:1000+rnorm(1000,sd=1000), type=sample(letters[1:2],1000, replace=TRUE)) ## Very nice! Almost what I want qplot(x, y, data=df, colour=factor(type)) + geom_smooth() ## Make a nicer plot, with smaller points ## but why

G'day Thomas, On Sat, 12 Aug 2023 04:17:42 +0000 (UTC) Thomas Subia via R-help <r-help at r-project.org> wrote: > Here is my reproducible code for a graph using geom_smooth The call "library(tidyverse)" was missing. :) > I'd like to add a black boundary around the shaded area. I suspect > this can be done with geom_ribbon but I cannot figure this out. Some >

Hi all, Is that possible to remove the grey colour in the legend key that goes with the geom_smooth? In my case it doesn't ease the reading of the legend. http://www.4shared.com/file/125864977/e10644f8/desorb.html Cordialement / Regards ------------------------------------------- Benoit Boulinguiez Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences

R-help: I have a variable ("ID_list") containing about 1800 unique numbers, and a 143066x29 data frame. One of the columns ("ID") in my data frame contains a list of ids, many of which appear more than once. I'd like to find the subset of my data frame for which "ID" matches one of the numbers in "ID_list." I'm pretty sure I could write a function

Hello, I'm trying to create a line graph with a legend, but have no success controlling the legend. Since nothing I've tried seems to work, I must be doing something systematically wrong. Can anyone point this out to me? Here's my data: > weights # A tibble: 1,246 ? 3 Date J K <date> <dbl> <dbl> 1 2000-02-13 133 188 2

Hi I am using ggplot to overlay two regression lines on a scatter plot each corresponding to a treatment group. The default plot gives a different slope for each treatment group. However, in some cases i want the lines to be parallel -ie no significant interaction. My code: ggplot(data=df,X,Y,colour=treatment) + geom_point() + geom_smooth(method="lm") I think i use the

Hi, I am running the following code: mfg0 <- ggplot(aes(x=Grade,y=Math,colour=RiskStatic45678),data=math.f) mfg1 <- mfg0 + geom_smooth(method="lm", formula=y ~ ns(x,2),size=1) + geom_smooth(aes(y=nalt.math,color="NALT"),size=1,data=nalt) + scale_colour_brewer("Risk Status", pal="Set1") + coord_cartesian(ylim = c(175, 245)) mfg1 And when I specify

This is what I have now so far. p=ggplot(data = test, aes(x = YEAR, y = TOTAL, colour = TREATMENT)) + geom_point() + geom_smooth(method = "lm", se=FALSE) + facet_wrap(~COUNTRY) > p +scale_x_continuous(limits=c(1,4)) http://r.789695.n4.nabble.com/file/n3626510/graph.gif I would also like to: 1.) change the headline for the faced wraps ?high? and ?low?. Is there any other way of

Suppose that I'm working on Hadley's diamond dataset and I want to review the relationship between price, colour and carat. I might run the following: library(ggplot2) #plot scatter and add some hex binning q<-qplot(carat,price,data=diamonds, geom=c("hex"), main="Variability of Diamond Prices by Carat and Colour") #facet to get one scatter for

I have the string ggstr that I've built with string manipulation: ggstr = "ggplot(df1, aes(x,y)) + geom_smooth(se=FALSE, span=0.01)" Assuming df1 is properly defined, this string will execute properly if I submit it manually without the quotes. How can execute the command as a string, so that I can run it repeatedly (with minor modifications) in a loop? Presumably, it would be

Hello - So I am trying to use ggplot2 to show a linear regression between two variables, but I want to also show the fit of the line on the graph as well. I am using ggplot2 for other graphics in what I am working on, so even though this would be a fairly easy thing to do in Excel, I would prefer to do it in R to keep my look and feel, and I think ggplot2 is just cooler. Here is a sample

I have already obtained my confidence intervals from a bootstrapping procedure and now I want to plot the estimates and the confidence intervals similar to the plots obtained when the geom_smooth function is used in ggplot2. Thanks -- View this message in context: http://r.789695.n4.nabble.com/Plotting-Confidence-Intervals-with-a-proiri-calculated-Intervals-tp4322581p4322581.html Sent from the R