similar to: ggplot2 label problem

Hello all! I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used is:

Dear R users, I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used

Hello all! I want to make a barplot with ggplot2. I want to view in the same chart the semn values (significant values (pointer over 50)). I try this code, but only for pointer values. ggplot(data, aes(x = Year, y = pointer)) + geom_bar(stat="identity") please help me with this problem. I use this data: Year variable pointer variable semn 1 1901 neg 0.00 sneg NA 2 1902 neg 0.00 sneg

Hello all! I have a problem to draw a polygon with R. My data is like this> Year Nb.series Perc.pos Perc.neg Nature RGV_mean RGV_sd neg poz 1 1901 1 0.00 0.00 0 4.29 NA 0.00 0.00 2 1902 1 100.00 0.00 1 16.47 NA 0.00 100.00 3 1903 1 100.00 0.00 1 31.31 NA 0.00 100.00 4 1904 1 0.00 0.00 0 -9.62 NA 0.00 0.00 5 1905 1 0.00 100.00 -1 -22.55 NA -100.00 0.00 6 1906 1 0.00 100.00 -1 -12.09 NA

Hello, I'm new to R, but I've read the intro to R and successfully connected it to an instance of mysql. I'm trying to perform multiple linear regression, but I'm having trouble using the lm function. To start, I have read in a simply y matrix of values(dependent variable) and x matrix of independent variables. It says both are data frames, but lm is giving me an error that my

(Apologies the previous version was sent as rich text) Hello, I'm new to R, but I've read the intro to R and successfully connected it to an instance of mysql. I'm trying to perform multiple linear regression, but I'm having trouble using the lm function. To start, I have read in a simply y matrix of values(dependent variable) and x matrix of independent variables. It says both

On 03/10/2016 12:05 AM, Sarah Newman wrote: > On 03/09/2016 08:15 PM, Sarah Newman wrote: >> I've been running 3.18.25-18.el6.x86_64 + our build of xen 4.4.3-9 on one host for the last couple of weeks and have gotten several soft lockups >> within the last 24 hours. I am posting here first in case anyone else has experienced the same issue. >> > > Here is mpstat

On 03/09/2016 08:15 PM, Sarah Newman wrote: > I've been running 3.18.25-18.el6.x86_64 + our build of xen 4.4.3-9 on one host for the last couple of weeks and have gotten several soft lockups > within the last 24 hours. I am posting here first in case anyone else has experienced the same issue. > Here is mpstat from around the time of the issue: 0:08:56 PM CPU %usr %nice

Full_Name: John Garvin Version: 1.9.0 OS: Linux Submission from: (NULL) (128.42.129.78) This may or may not technically be a bug, but it's certainly an annoyance. Rprof only takes into account computation that occurs inside functions. If a time-consuming operation occurs outside a function, it doesn't record the time it takes. Consider this program 'array.r': Rprof() foo <-

Hi all, I have a data frame that looks like such: LATITUDE LONGITUDE TEMPERATURE TIME 36.73 -176.43 58.32 1 50.95 90.00 74.39 1 -30.42 5.45 23.26 1 15.81 -109.31 52.44 1 -80.75 -144.95 66.19 2 90.00 100.55 37.50 2

Dear R Help, I am attempting to make a plot of longitudinal data, a sample data frame of which is shown below. I'd like to show all of the subjects in the same plot, with a set of connecting line segments for each subject. 'age' would be the x-axis and 'score' would be the y-axis. subject age score 1 10123 12 51.06 2 10123 14 50.00 3 10123 15 62.22 4

Hello, i have ported the BCP (Bride Control Protocol) patch for pppd 2.4.1 mentioned in http://lists.osdl.org/pipermail/bridge/2004-September/000619.html to pppd 2.4.2. The kernel patch still works without problems with kernel 2.4.30. Perhaps someone else could use this patch ... Here again some documentation i have found about the BCP patch somewere else: When pppd negotiates BCP, it tells

Dear R users, There is a error message when I run the following code. It is used to load microarray data and use the top 1000 genes for training svm to classify test set . > library(e1071) Loading required package: class > f=read.table("F:\\lab\\ microarray analysis\\VEH LPS\\exprs.txt",

Hi all (really probably just Deepayan): In the plot below I want to add text on either side of each violin plot that indicates the number of observations that are either positive or negative. I'm trying to do this with ltext() and I've also monkeyed about with panel.text(). The code below is generally what I want but my calls to ltext() are wrong and I'm not sure how to fix them.

Dear community I am using ggraph to plot a network analysis. See part 2 in the working example. Besides different colors for different groups of nodes: --> geom_node_point(aes(size = V(network)$hub_score*200, color= as.factor(V(network)$community))) I additionally want to consider different colors for different edge groups The grouping is defined in the edge_list$relationship: negative

Dear r-help, I'm interested in finding a better way to add a column to a data frame when calculating the new column requires more than one conditional. For example, if I wanted to associate a character string in {"Pos","Neg","Zero"} with each number in the following data frame: > d <- data.frame(num = -2:2) > d num 1 -2 2 -1 3 0 4 1 5 2 I

hello, I am using following command classify_polarity(documents,algorithm="bayes",verbose=TRUE) output is: [1] "DOCUMENT 1" [1] "WORD: excited CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: happy CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: optimistic CAT: positive POL: weaksubj SCORE: 7.7510451179718" [1]

Hi guys, I'm a new to R and following along with Tutorials using this book: http://www.amazon.com/Practical-Statistical-Analysis-Non-structured-Applications/dp/012386979X In one of them, they use the twitteR package and describe the following function (see below). From what I can tell from the documentation (R), there's a method to call it directly in an interactive session. The way

Hi, I want to fit a GEE with a negative binomial distribution. I have uesd already a poisson glm and then neg binommial to deal with alot of dispersion. In my neg binomial residuals i have some patterns so i have implemented a GEE, but only with a poisson family as i couldnt with neg binomial. However the residual patterns in fact look worse here. When i try and put neg binomial family it

Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- Untested beyond compiling a few shaders to see if they look like they might work. nvdisasm agrees with envydis's decoding of these things. Will definitely get ahold of a G200 to run tests on before pushing this. .../drivers/nouveau/codegen/nv50_ir_emit_nv50.cpp | 94 ++++++++++++++++++---