On Tue, 4 Sep 2018, Nathan D Jennings wrote:
?To the R Project:
This is the R-help mailing list, populated by various people who use R
including the occasional R-core developer.
I am using R Studio and I need help sum product exponents with R Script.
a) This is the R-help mailing list, n
a) missing ggplot2 library
b) cannot word wrap in the middle of a string in R without introducing
newlines
c) aes is not recommended for working with string variables as names...
use aes_string
d) Because aes_string will parse the string, you need to add the backticks
e) paste0() is a shorter v
Hi Philip,
This may work:
library(dplyr)
`RefDate` <- as.Date(c("2010-11-1","2010-12-01","2011-01-01"))
`Number of vegetables` <- c(14,23,45)
`Number of people` <- c(20,30,40)
MyData <- data.frame(RefDate,`Number_of_vegetables`,
`Number_of_people`,check.names=FALSE)
MyVars <- c("Number of vegetab
I am having trouble working with column names in a data frame. My
column names are multi-word text strings and I like it that way. I
want to loop through the columns, plotting graphs for each one, and I
want to use the column names in the chart labels and in the file names
when I save the c
To the R Project:
I am using R Studio and I need help sum product exponents with R Script. Every
time I type at the very start in the R Script window like 25* 30 nothing
happens. Where can I go to find the complete commands for basic functions in
the r script window?
Sincerely,
Nathan Je
Hi David,
You are right. Thanks for your time.
The problem is certainly with the data. Plotting part of it gives different
results, usually quite different from the output when the total data is
used. In fact, just as you mentioned, it will look as if it is not the same
code that is used to plot
Note also that if you wish to include 0 and negative numbers, and your
intent is to truncate to 1 digit towards 0, then you must of course check
for 0 separately and modify what I suggested for x != 0 to:
k <- floor(log10(abs(x)))
ifelse(x <0, ceiling(x*10^(-k)), floor(x*10^(-k))) *10^k
Note that
Thank you for the reproducible data, but it is not the data used in the plot
you attached and does not plot anything with the code you included. The ylim=
argument must be modified:
plot(-5:10, oomean, type="b", ylim=c(4, 12),
xlab="days (epoch is the day of Fd)", ylab="strikes/day",
Dear List,
I have a dataset of high variability. I conducted epoch analysis and
attempted to plot the standard error bar alongside.
I am, however, surprised that the error bars are of equal length. I do not
think that the variability in the data is captured, except there is a kind
of averaging th
Please post on the r-sig-mixed-models list, where you are more likely to
find the requisite expertise.
However, FWIW, I think the reviewer's request is complete nonsense (naïve
cross validation requires iid sampling). But the mixed models experts are
the authorities on such judgments (and may tell
This is *not* "rounding down."
But this should do it I think:
## (see ?floor)
x <- 3.896e09
k <- floor(log10(x))
> floor(x*10^(-k))*10^k
[1] 3e+09
There may be even slicker ways, but this is as slick as I can muster...
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that
Hello,
So, I have this (simplified for better understanding) binomial mixed
effects model [library (lme4)]
Mymodel <- glmer(cross.01 ~ stream.01 + width.m + grass.per + (1|
structure.id),
data = Mydata, family = binomial)
stream is a factor with 2 levels; width.m is continuous; grass.per is a
On Mon, 3 Sep 2018, Rich Shepard wrote:
Is there a process by which these plots can be 'thinned' so they show the
same overall patterns but with fewer points so they display more quickly?
Bert/Paul/David/John:
Thanks very much for the suggestions. I think an appropriate way to
illustrate th
Hello,
How can I round down numeric values with decimals? For example,
> signif(3.896037e+09, digits = 1)
[1] 4e+09
The expected result is 3e+09 (and not 4e+09).
> signif(8.68542378e-10, digits = 1)
[1] 9e-10
The expected result is 8e-10 (and not 9e-10).
Thank you very much for
> Jim Lemon
> on Tue, 4 Sep 2018 08:36:22 +1000 writes:
> Hi Pedro,
> I have encountered similar situations in a number of areas. Great care
> is taken to record significant events of low probability, but not the
> non-occurrence of those events. Sometimes this is due
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