search for: free_i

Displaying 20 results from an estimated 25 matches for "free_i".

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2010 May 18
2
Function that is giving me a headache- any help appreciated (automatic read )
note: whole function is below- I am sure I am doing something silly. when I use it like USGS(input="precipitation") it is choking on the precip.1 <- subset(DF, precipitation!="NA") b <- ddply(precip.1$precipitation, .(precip.1$gauge_name), cumsum) DF.precip <- precip.1 DF.precip$precipitation <- b$.data part, but runs fine outside of the function: days=7
2011 Dec 23
1
simple ggplot2 question
Hello, I am trying to make a plot using the code below. The plot is divided into two parts, using facet_grid. I would like the vertical axis (labelled 'place') to be different for each location (=part). So in the upper part, only places 'n' through 'z' are shown, while in the lower part, only places 'a' through 'm' are shown. I thought 'free_y'
2009 Oct 06
1
ggplot2 applying a function based on facet
Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is
2020 Nov 24
2
Cambiar nombre de topic en análisis LDA
Buenas tardes Estoy haciendo un análisis LDA y me gustaría cambiar el nombre de los topics a la hora de visualizarlos y en vez de que se llamen 1,2,3...darles un nombre. ¿Es posible en este código? lda22 <- LDA(reviews_dtm, k = 22, control = list(seed = 1234)) lda22 %>% tidy() %>% group_by(topic) %>% top_n(10, beta) %>% ungroup() %>% mutate(term =
2010 Sep 11
1
Setting scales for ggplot2 with facets
Faceting in ggplot2 seems to permit different scales for different facets, but I fail to see how one could control ylim and xlim ranges for each facet separately. For instance, I would like to set the ylim = c(0,10) for facet "A" and ylim = c(42,102) for facet "B". Since the data is out of these ranges, setting facet_grid(factor ~ ., scales = "free_y") does not
2010 Aug 24
1
drop unused levels in lattice dotplot axis?
Hi list, I have a data set - something like this dfr <- data.frame(A=factor(letters[1:25]),B=runif(25), C=sample(LETTERS[1:4],25,replace=TRUE)) and I want to create a dotplot: library(lattice)dotplot(A ~ B | C, data=dfr, scales=list(y=list(relation="free"))) but this puts uneven spaces along the y-axis in each panel. drop.unused.levels=TRUE will drop conditioning
2009 Jul 24
1
ggplot question
In page http://had.co.nz/ggplot2/scale_date.html , there is a time series plot for multiple variables at the bottom. i.e qplot(date, value, data = em, geom = "line", group = variable) + + facet_grid(variable ~ ., scale = "free_y") How can I make different color for different series? Thanks -- View this message in context:
2009 Jan 22
1
ggplot2 example
I need to plot two graphics just like the example below but for some reason your example crashes. Using facet_wrap seems to be the cause: library(ggplot2) upper <- with(economics, data.frame(date,value = psavert, position = "upper")) upper lower <- with(economics, data.frame(date,value = unemploy,position = "lower")) lower #upper$date <-
2013 Apr 14
1
Problem plotting continuous and discrete series in ggplot with facet
I have data that plots over time with four different variables. I would like to combine them in one plot using facet_grid, where each variable gets its own sub-plot. The following code resembles my data require(ggplot2) require(reshape2) subm <- melt(economics, id='date', c('psavert','uempmed','unemploy')) mcsm <- melt(data.frame(date=economics$date,
2010 May 09
1
Is it possible to rearrange the facets in ggplot while keeping everything else the same?
Hello, First, ggplot2 is great! Second, sorry for the basic nature of my question. I have data in the form of a melt table like this: Subject Day Ab Variable Value 1 1 Yes A 3 1 3 Yes A 5 1 5 Yes A 7 2 1 No A 2 2 3 No A 4 2 5 No A 6 3 1 Yes A 1 3 3 Yes A 3 3 5 Yes A 5 4 1 No A 4 4 3 No A 6 4 5 No A 8 1 1 Yes B 3 1 3 Yes B 5 1 5 Yes B 7 2 1 No B 2 2 3 No B 4 2 5 No B 6 3 1 Yes B 1 3 3 Yes B 3 3 5
2011 Jun 30
1
Italicized greek symbols in PDF plots
I know that this has been asked before in other variations but I just can't seem to figure out my particular application from previous posts. My apologies if I have missed the answer to this question somewhere in the archives. I have indeed looked. I am running Ubuntu 11.04, with R 2.12.1 and ESS+Emacs. For journal formatting requirements, I need to italicize all the greek letters in any
2017 Jun 09
2
Color en líneas (ggplot2)
2017-06-08 12:54 GMT-04:00 Javier Marcuzzi <javier.ruben.marcuzzi en gmail.com> : > ¿me hice entender? ?No. Para salir del escollo lo convertiré a gráficos? base y continuaré con mi vida ?... ?Au revoir.? -- «Pídeles sus títulos a los que te persiguen, pregúntales cuándo nacieron, diles que te demuestren su existencia.» Rafael Cadenas [[alternative HTML version deleted]]
2009 Oct 06
2
ggplot cumsum refined question (?)
OK, so maybe last night was a little too much at one throw, so I have reduced the data to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time =
2009 Jan 14
1
publication statistics from Web of Science
Dear list, This is a bit of an off-topic question, but I'm hoping to get some advice from more experienced people. I've used the website "Web of Science" to manually collect publication counts responding to several keywords as a function of date, since the 1960s. http://apps.isiknowledge.com/RAMore.do?product=UA&search_mode=&SID=P1g9lFJp9 at
2010 Feb 04
2
ggplot2 / time series with different scales
I am trying to plot this dataset using ggplot2: df <- data.frame( sid = c(rep('11',30),rep('22',30)), time = rep(ISOdate(year = 2010, month = 1, day = 1:30),2), sales = c(rnorm(30, 1000, 20),rnorm(30, 900, 10)), price = c(rnorm(30, 2, 0.5),rnorm(30, 3,0.5)) ) Plotting just the sales can be done easily: ggplot(data=df, aes(x=time, y=sales, group=sid, color=sid)) +
2011 Jan 10
1
Basic ggplot question
Hello R-Group, I am trying plotting simple time-series with ggplot2 because the output looks better and I've heard its richer in features. I have the following dataset. > dput(dat) structure(list(Date = structure(c(14970, 14971, 14972, 14973, 14974, 14977, 14978, 14979, 14980, 14981), class = "Date"), Close = c(5998.1, 5996, 6060.35, 6101.85, 6134.5, 6157.6, 6146.35, 6079.8,
2008 Nov 17
1
ggplot2: can one have separate ylim for each facet?
In lattice #toy data library(ggplot2) library(lattice) x <- rnorm(100) y <- rnorm(100) k <- sample(c("Weak","Strong"),100,replace=T) j <- sample(c("Tall","Short"),100,replace=T) w <- data.frame(x,y,j,k) xyplot(y~x|j+k,scales=list(y=list(relation="free"))) will give you a scale in each subplot with a range equal to the range of y
2012 Oct 22
0
Lattice to ggplot2: Reference graphics across facets
Hi, I'm playing with moving some of my lattice graphics into ggplot2, and I'd like to ask how to achieve a couple of things, both of which are fully illustrated in self-contained code (and mostly minimal, although that left quite a bit) following this written description. 1. I quite often like to use a 'ghosted' reference across facets - for example, in my example program below,
2010 Jul 05
2
Plot with whispers
Hello! I need to make a plot with whispers that does the following. Reads in 50 files, each file containing 200 data points. A file looks like this: base100.log Send Receive 10.5 100.3 15.0 102.4 ... There are 100 lines, each with two data points. I need to read in the 50 files, and plot three lines The first line is the mean of the send column with whiskers indicating standard deviation
2010 Oct 29
3
Dickey Fuller Test
Dear Users, please help with the following DF test: ===== library(tseries) library(timeSeries) Y=c(3519,3803,4332,4251,4661,4811,4448,4451,4343,4067,4001,3934,3652,3768 ,4082,4101,4628,4898,4476,4728,4458,4004,4095,4056,3641,3966,4417,4367 ,4821,5190,4638,4904,4528,4383,4339,4327,3856,4072,4563,4561,4984,5316 ,4843,5383,4889,4681,4466,4463,4217,4322,4779,4988,5383,5591,5322,5404