I have a time serie of 10 time points, including Treated and Control samples.
In total my data contains 20 columns.
I have grouped Treated and Control samples into 3 categories, Early, mid and
late. I want to compare The early Treated Group with the early Control
group, The mid Treated with the mi
I have a data frame like this:
T0h T0.25h T0.5h T1h T2h T3h T6h T12h T24h T48h
C0h C0.25h C0.5h C1h C2h C3h C6h C12h C24h C48h
NM_001001130 68 9556 43 66 62 68 90 63 89 65
8558 49 81 49 76 73 48 77
NM_001001152 791
I have a matrix like this
Name 12
3 45
NM_0010395141.033557047 0.74698795180.90045248870.8613861386
0.7952499048
NM_001039
Problem solved!
--
View this message in context:
http://r.789695.n4.nabble.com/Plot-from-function-tp3744428p3744695.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo
It workes using ""
But what is this:
> p <- plot_mi_time(hakat, "hsa-miR-100")
X1h X4h X9h X15h X18h X21h
hsa-miR-100 384 1038 1503 1511 2603 2899
*Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' and 'y' lengths differ*
--
View this message in context:
http://r.789695.n4.
> ls(hakat)
[1] "X15h" "X18h" "X1h" "X21h" "X4h" "X9h"
--
View this message in context:
http://r.789695.n4.nabble.com/Plot-from-function-tp3744428p3744592.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing
*I have the following function:*
/plot_mi_time = function(mdata, miname) {
mdata2 = mdata[row.names(hakat) == miname, ]
print(mdata2)
xcoords <- c(1,1,2,2,3,3,4,4,5,5,6,6)
plot(c(xcoords), mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", ,
main=miname)
axis(1, at=xcoords
I have been browsing the pages about ggplot and it really doesn't deal with
such problems as far as I can see.
--
View this message in context:
http://r.789695.n4.nabble.com/re-write-plot-function-for-ggplot-tp3565868p3568025.html
Sent from the R help mailing list archive at Nabble.com.
__
Hi, I have the following function that i use to plot graphs.
plot_mi_time = function(mdata, miname) {
mdata2 = mdata[row.names(mir_test3) == miname, ]
# print(mdata2)
xcoords <- c(1,1,2,2,3,3)
plot(xcoords, mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", ,
main=miname)
I am using the following function to plot columns from a CSV-file:
plot_mi_time = function(mdata, miname) {
mdata2 = mdata[row.names(mir_test) == miname, ]
# print(mdata2)
plot(c(1:3), mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", ,
main=miname, pch=16)
axis(1, at=c(1,2,3),labels
Hi,
this works: apply(mtcars[c("Mazda RX4", "Merc 450SLC", "Maserati Bora"), ],
1, plot)
How do you add labels and additional edit in such a plot? For instance I
want
mpg cyl disp hp dratwt qsec vs am gear carb to be plottet below the
X-axis
--
View this message in context:
http://r.
http://r.789695.n4.nabble.com/file/n3558595/help_snap.jpg
Why do R rename my rows and columns when loading it like in the image above?
--
View this message in context:
http://r.789695.n4.nabble.com/Plot-rows-of-CSV-tp3555898p3558595.html
Sent from the R help mailing list archive at Nabble.com.
http://r.789695.n4.nabble.com/file/n3555898/example.jpg
Hi,
I have a CSV-file (see image) that I would like to plot.
I want to make a plot-function where I only plot one row at the time. I want
to define which row to plot in the function based on the row-names
(non-numeric) in column 1 in the C
13 matches
Mail list logo