Re: [R] Plotting lines to sets of points
# Create a matrix of ball locations # You'd do this using the calls within your points function balls - matrix(c(0,50,25,-150,-100,-50), ncol=2, byrow=F) # Draw a line from the origin to each ball location apply(balls, 1, function(x) lines(c(125, x[1]), c(-210, x[2]), col='red')) A more complete example might loop over all the unique elements of framename$hit_traj, and then run this procedure for each value with a different colour, plotting both ball points and trajectories. lawnboy34 wrote: I am using R to plot baseball spray charts from play-by-play data. I have used the following command to plot the diamond: plot (0:250, -250:0, type=n, bg=white) lines(c(125,150,125,100,125),c(-210,-180,-150,-180,-210), col=c(black)) I have also plotted different hit locations using commands such as the following: points(subset(framename$hit_x, framename$hit_traj==line_drive), subset(-framename$hit_y, framename$hit_traj==line_drive), pch=20, col=c(red)) My question: Is there any easy way to plot a line from the origin (home plate) to each point on the graph? Preferably the line would share the same color as the dot that denotes where the ball landed. I have tried searching Google and these forums, and most graphing questions have to do with scatterplots or other varieties of graphs I am not using. Thanks very much in advance. -Jason -- View this message in context: http://www.nabble.com/Plotting-lines-to-sets-of-points-tf4404235.html#a12564959 Sent from the R help mailing list archive at Nabble.com. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] enable object name to be called as object (a dataset)
a - 1:3
b - 11:13
c - 21:23
names - c('a','b','c')
do.call(data.frame, list(sapply(names, function(x) get(x
runner wrote:
What I am trying to do is as follows:
- I have listed names of all wanted objects (datasets A,B,C... ) in
current workspace as a vector:
obj - c('A','B','C')
- then i need to use these objects, say to extract all the 1st columns and
bind to an existing dataset ('data'):
for ( i in 1:3){
newdata - obj[i]
data - cbind(data,newdata [[1]] )
}
Obviously, it doesn't work since obj[i] is just a string of dataset name.
Here is my question: how to call it as a original dataset? Thanks.
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Re: [R] Month end calculations
A simple example (avoiding using dates, just to show the principle) - this assumes that your data are already sorted (?order). temp - data.frame(subject = rep(1:2, each = 5), response = 1:10) print(temp) last - do.call(rbind, by(temp, temp$subject, function(x) tail(x, 1))) print(last) By changing the 2nd parameter to 'tail' you can get different numbers of observations in the tail of each subset, so it has more power than SAS's .last. If you need an equivalent of .first, then replace 'tail' with 'head'. Jim. Shubha Vishwanath Karanth wrote: Hi R users, Is there a function in R, which does some calculation only for the month end in a daily data?... In other words, is there a command in R, equivalent to last. function in SAS? BR, Shubha [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- View this message in context: http://www.nabble.com/Month-end-calculations-tf4347226.html#a12390874 Sent from the R help mailing list archive at Nabble.com. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] summarizing dataframe at variable/factor levels
my.data - data.frame(
trts - rep(c('Drug 1','Drug2'), each = 10),
doses - rep(c('Low dose','High dose'), 10),
resp - rnorm(20)
)
tapply(my.data$resp, list(my.data$trts, my.data$doses), mean)
Jim
Afshartous, David wrote:
All,
Is there an efficient way to apply say mean or median to a dataframe
according to say all combinations of two variables in the dataframe?
Below is a simple example and the outline of a manual solution that
will work but is not very efficient
(could also generalize this to a function). Searched the archives and
docs but didn't see anything close to this question.
Cheers,
dave
dat.ex = data.frame( rep(c(1:6), each=6), c(rnorm(12), rnorm(12, 1),
rnorm(12, 2)), rnorm(36, 5), rep(c(1:6), 6),
rep(c(Drug1, Drug2, Placebo), each=12) )
names(dat.ex) = c(patient.no, outcome, x, time, drug)
mean of first 2 time pts on Drug1:
mean.time.1.drug.1 = mean( dat.ex[dat.ex$time==1 dat.ex$drug==Drug1,
c(2,3)])
mean.time.2.drug.1 = mean( dat.ex[dat.ex$time==2 dat.ex$drug==Drug1,
c(2,3)])
dat.ex.reduced = as.data.frame(rbind(mean.time.1.drug.1,
mean.time.2.drug.1))
dat.ex.reduced$Drug = c(Drug1, Drug1) ## add back Drug variable and
time variable
dat.ex.reduced$time = c(1,2)
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[R] Changing graphics height when using grid and lattice
Hi,
I have recently been playing with the grid package in an attempt to create
some pages containing multiple lattice plots on the same page. However, when
I specify a grid layout with different widths, such as:
pushViewport(viewport(layout = grid.layout(1, 2, unit(c(2, 1), null
the individual graphs do not end up as the same height - which is a feature
I would prefer to have.
A complete example is as follows:
### Start of example
library(lattice)
library(Hmisc)
library(grid)
# Incidence data
testData - data.frame(
strata = rep(c(CHF : Yes, CHF : No), each = 20),
ae = rep(paste(Adverse Event, 1:10), each = 2),
trt = rep(c(Active, Placebo), 20),
pct = runif(40, 1, 30)
)
# RR data
testData2 - data.frame(
strata = rep(c(CHF : Yes, CHF : No), each = 10),
ae = paste(Adverse Event, 1:10),
rr = runif(20, 0.5, 5)
)
testData2$lower = testData2$rr / 2
testData2$upper = testData2$rr * 2
# Combined plot
testPlots - function(relativeWidth)
{
plot1- dotplot(
ae ~ pct | strata,
groups = trt,
data = testData,
layout = c(1, 2),
xlab = Percent,
auto.key = list(space = top, columns = 2)
)
plot2 - Dotplot(
ae ~ Cbind(rr, log10(lower), log10(upper)) | strata,
data = testData2,
panel = function(...)
{
panel.Dotplot(...)
panel.abline(v = 0, col = 'red', lty = 2)
},
layout = c(1, 2),
scales = list(
x = list(log = T, at = c(0.125, 0.25, 0.5, 1, 2, 4, 8, 16, 32)),
y = list(draw = F)
),
xlab = Relative Risk with 95% CI,
ylab = ,
key = list(text = list())
)
grid.newpage()
pushViewport(viewport(layout = grid.layout(2, 1, heights = unit(c(1, 6),
null
pushViewport(viewport(layout.pos.col = 1, layout.pos.row = 1))
grid.text(Analysis of Relative Risks of various Adverse Events)
upViewport()
pushViewport(viewport(layout.pos.col = 1, layout.pos.row = 2))
### Change the relative width of the 2 presented graphics
pushViewport(viewport(layout = grid.layout(1, 2, unit(c(relativeWidth, 1),
null
pushViewport(viewport(layout.pos.col = 1, layout.pos.row = 1))
print(plot1, newpage = F)
upViewport()
pushViewport(viewport(layout.pos.col = 2, layout.pos.row = 1))
print(plot2, newpage = F)
upViewport()
}
# Everything is fine, both graphs maintain the same y-axis
testPlots(1)
# The second graph is now taller than the first one
win.graph()
testPlots(3)
# End of example
I've been through the documentation of both lattice and grid, and I have not
been able to find the answer. I would appreciate any solution!
Regards,
James Price.
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