>
>wrote:
>
> Hi Marcelo,
> Just google for "word cloud r". Too much information.
> Jim
> On Tue, Mar 30, 2021 at 11:18 AM Marcelo Laia
> <[3]marcelol...@gmail.com> wrote:
> >
> > Hi,
> >
> >
Hi,
I would like to do a word cloud in a specif site related to a specific
word.
For example, I could be interested in discovery what are the words
linked to word "tree" in a site like www.foo.bar and have the result in
a wordcloud image.
Please, someone could me point me out a package or a bibl
Hi Rui,
You are very welcome!
On 11/11/20 at 11:10, Rui Barradas wrote:
>
> dput(head(dat, 20))
>
structure(list(Bloco = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Espacamento = c("3 x 1",
"3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1",
Hi,
I am running these approaches:
Model 1
ggplot( dat , aes(x=DAP, y=Altura, color=as.factor(Espacamento) )) +
geom_point(size=0.5) +
stat_smooth(method = "lm",
formula = y ~ x + I(x^2), size = 1) +
facet_grid(Espacamento ~ Clone) +
theme(legend.position="none")
1. https://github.com/jsychong/MetaboAnalystR
2. https://www.dropbox.com/s/rchhnjg0gziwr2l/heatmap_1_dpi72.png?dl=0
3. https://www.dropbox.com/s/rchhnjg0gziwr2l/heatmap_1_dpi72.png?dl=0
On 04/03/19 at 02:41, Marcelo Laia wrote:
> Hi,
>
> I'm trying to do a MetaboAnalystR [1]
Hi,
I'm trying to do a MetaboAnalystR [1]'s analysis with a large dataset. All works
great except PlotHeatMap function. This functions plot two type of image output:
"overview" and "detail". In "overview" mode, we can do plot the image in png or
pdf. However, in this mode, we do not could see the
Hi, I have a experiment like this:
Trat Rep Peak CAS
11 1123-92-2
11 2109-21-7
11 32867-05-2
11 ... ...
11 33 99-86-5
12 1562-74-3
12 2123-92-2
12 3109-21-7
12 ... ...
12 45 2867-05-2
...
14 3 18 2867-0
Hello,
After a very good advice from here [1] I am learning about
experimental qRT-PCR design and I found Hellemans et al., 2007 [2], as
suggested by Jo, and Rieu and Powers 2009 [3]. So, I made a
experimental design for me [4].
However, I am not sure what software I could use to do the analysis
cex = 1)
plot(TestRun2$drFit$drFittedSplines[[1]], colData = colData,
pch = 1:4, cex = 1)
Thank you very much!
Marcelo
On 12/02/15 at 12:57am, Marcelo Laia wrote:
> Hello
>
> I tried use grofit package in our data set. We provide a subset of our
> data with X iso, and 4 doses,
Hello
I tried use grofit package in our data set. We provide a subset of our
data with X iso, and 4 doses, and insect died was count each day for
long 5 days. We started with Y insects per dishes. When one is dead, it
was counted and removed. Died insect is cumulative in the next days.
i.e. day 1
I am trying to do a dose response in my dataset, but nothing go a head.
I am adapting a script shared on the web, but I unable to make it
useful for my dataset. I would like to got the LC50 for each Isolado
and if there are differences between then.
My data is https://dl.dropboxusercontent.com/u/
Yes!
I have a look there before I post!
Thank you very much!
2013/7/14 Bert Gunter :
> Look before you post -- specifically at the "Books" subpage of CRAN's
> R homepage:
>
> http://www.r-project.org/
>
> -- Bert
>
> On Sun, Jul 14, 2013 at 12:56 PM, Marce
Dear,
I need a book about repeated measurements analisys with R.
In Amazon, I found this one:
Models for Repeated Measurements (Oxford Statistical Science Series)
J. K. Lindsey 1999 2ed.
I would like a book with examples, data and R code. I work with trees
(forest breeding).
Could you recomend
I did a multcompBoxplot like this:
> xzx <-multcompBoxplot(DESC_COMP ~ CLONETRAT,data = data.cerato,
+ sortFn = "median", decreasing=TRUE,
+ horizontal=FALSE, compFn = "TukeyHSD",
+ plotList=list(
+ boxp
Hi,
How I could improve this graphic?
http://www.divshare.com/download/10754700-f81
I would like to write groups labels in each panel and override the
labels from object.
I am try this code:
xyplot(percentagem.mortos~tempo|trat, data=bio.ens, type="a",
auto.key=list(points=FALSE, lines=T
Hi, I am trying to run a script on R and it died before finish.
I already read the list archives, and memory help pages
(http://tinyurl.com/yaxco6w), but I am unable to solve the issue.
My Debian shows:
marc...@laia:~$ ulimit
unlimited
marc...@laia:~$
On system monitor (gnome) I see that R reac
Hi,
I am trying to analyze a data set when nematodes were killed after a
drug administration.
We have counted the number of nematode died and the number of nematode
survival at three time points.
So, there are 100% died in some plot and could be found zero percent
in another. Then, the data set
Hi,
I have a experiment with block, plots, sub-plots, and sub-sub-plots
with repeated measures and 3 factors (factorial design) when we have
been observed diameter (mm), high (cm) and leaves number (count).
However, we don't have one treatment in one factor, so, my design is
unbalanced.
On a prev
Dear list member,
My question is related to input file format to an Anova from car package.
Here is an example of what I did:
My file format is like this (and I dislike the idea that I will need
to recode it):
Hormone day Block Treatment Plant Diameter High N.Leaves
SH 23 1 1 1 3.19 25.3 2
SH 2
Dear all,
I am trying to analyze data from an experiment like this:
Factors:
Hormone - Levels: SH, CH (S = without; C=with; H=Hormone)
Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY)
Nutrition - Levels: Completa, Sem (without)
Macronutrition - Levels: Ca, K, Mg, P, Sem
Hi,
I am trying to run an analysis with the package maanova and I am not
getting success.
I suppose that I am wrong on set up the formula, so the issue may not
be related to R, properly.
I have two varieties of plants (V1 and V2). A group of each ones were
treated and another was not treated. Af
Dear Ben Bolker, Hadley Wickham, Jim Lemon and all
I'm very thank to you!
I tried all suggestion and I wiil comments it next.
Ben Bolker suggestion is very nice and I did a little changes in
col=c(1,1),pch=c(1,16) and I include a xlab, ylab and a legend(5, 4,
c("02H02","306"), pch = c(1,16), co
Hi,
I have a data set like this:
MutantRepTime OD
02H02100.029
02H02200.029
02H02300.023
02H02180.655
02H02280.615
02H02380.557
02H021121.776
02H02212 1.859
02H023121.668
02H02
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