hsd | Handshake Daemon & Full Node | Networking library
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QUESTION
I have a dummy C++ project for which I have the following github actions config:
...ANSWER
Answered 2021-Mar-31 at 17:52CMake
should use the ccache
's compiler wrappers Reference: "Enabling ccache in your project". I modified the build step to:
QUESTION
plant.lm <- lm(Buy ~ product, data = dataset)
plant.av <- aov(plant.lm)
tukeytest<-HSD.test(plant.av, trt = 'product')
tukeytest
> tukeytest
$statistics
MSerror Df Mean CV MSD
1.12648 202 3.686275 28.79215 0.2930452
$parameters
test name.t ntr StudentizedRange alpha
Tukey product.or.block 2 2.788514 0.05
$means
Buy std r Min Max Q25 Q50 Q75
3 3.911765 0.9657803 102 1 5 3 4 5
4 3.460784 1.1490122 102 1 5 3 4 4
$comparison
NULL
$groups
Q22.Buy groups
3 3.911765 a
4 3.460784 b
...ANSWER
Answered 2021-Feb-07 at 23:42Here's one way to do it.
QUESTION
I have a loop that produces a list of ggplots for any given number of analytes (in this example, 3). An ANOVA is performed and p-value generated and mapped for each ggplot.
However, I also want to annotate these plots with Tukey HSD p-value brackets. If possible, I only want to visualize brackets that are below an adjusted p < 0.05.
I have written two scripts that perform separately these actions; the output for my loop is a list of lists (ggplot elements), while the output from my Tukey HSD script is a dataframe.
The brackets that I am referring to would look something like in this example ggplot:
The following is my code. First, the data:
...ANSWER
Answered 2021-Jan-30 at 00:32You could use ggsignif
for custom annotations. Example uses p < 0.2 as cutoff to show multiple error bars:
QUESTION
I am trying to create a grouped new variable in R that is based on the lagged value of a another variable.
My data.frame looks like this:
...ANSWER
Answered 2020-Nov-11 at 10:29Try using this :
QUESTION
=iif(Sum(Fields!ClsRead.Value)-Sum(Fields!OpnRead.Value)=0,"NO HSD Supplied",sum(Fields!HSDIssued.Value)/(Sum(Fields!ClsRead.Value)-Sum(Fields!OpnRead.Value)))
...ANSWER
Answered 2020-Oct-30 at 08:07Using IIf
you have to remember that both side (TruePart
and FalsePart
) are always evaluated so dividing by 0 raise an #Error
.
You can use custom code (right click design surface outside report > Report Properties > Code
) and replace IIf
with an If/Then/Else
.
QUESTION
I'm new in python so I have a list as example
...ANSWER
Answered 2020-Oct-06 at 02:08Splitting the list is easy here:
QUESTION
I'm trying to add error bars from an ANOVA analysis with Tukey's post-hoc to my line graph in R using ggplot2
. Thanks in advance, and I'm happy to post any more info that will help me solve this problem!
Here is my code so far:
...ANSWER
Answered 2020-Apr-03 at 14:52The values produced by TukeyHSD
are for pairwise comparisons, and thus can't be plotted on the graph you provided code fore.
However, here is an approach to add standard error sd/sqrt(n)
bars with dplyr
. Obviously you can't add error bars for 1 observation, so I expanded your dataset with some random numbers.
QUESTION
I currently have a data.frame which is as follows:
...ANSWER
Answered 2020-Mar-31 at 23:18Might it helps.
It use dplyr
package. You need install it first
QUESTION
I performed a Tukey HSD test in R, and I want to see the p-value of one of the comparisons. When I run the Tukey test, my p values are so small that on the table they just read as "0.0000000". I need to know what the actual value is, even if it is so small that it rounds off to 0. How can I do that? The ANOVA generates a p value of 2.2e-16.
...ANSWER
Answered 2020-Mar-25 at 17:28Maybe try changing options?
QUESTION
I am trying to switch labels to where they should be on a ggplot
bar graph (after mean separation). I am using R 3.6.2. I have used the HSD.test
from the agricolae
package to do mean separation, but I can't figure out how to switch the letters around on the top of the graph. I am comparing different performance ratings on three different trucks with 4 different engines. Here is the data, and the end result:
ANSWER
Answered 2020-Feb-03 at 23:16You can make a left_join
to join your hsd
table and truckMean
by the performance
values and then plot that data.
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