Hi Nash,
If I understand your question correctly, you want the "mice" package.
Hopefully you have more data than your example.
Jim
On Sat, Dec 19, 2015 at 6:14 AM, Web Web wrote:
> Hello,
>I need some help in data cleaning using R. my CSV file looks as
> follows.
>
>
> "id","gender
Dear Michael,
Thanks for your reaction. The estimates in the example in the link are not
exactly identical, but almost. However, in my case, there is a substantial
difference between the estimates of the overall effect.
For example: I want to estimate the effect size of different mental health
Try this:
When fitting the model based on the subset data, fix the variance components to
the values from the model with the categorical moderator. So, in your rma.mv()
call, use:
sigma2=c(0.065, 0.113)
(ideally, use values that are less rounded). The overall effect size estimate
from this mo
Dear all,
for a publication I have to change cex.axis and cex.lab. I'm already
using Paul Murrell's workaround to increase the distance of the axes'
titles by adding "\n". However, I found no method to either increase the
distance of the labels or set their justification (by adj or hadj). They
Dear All,
I am training a model using caret.
Everything is fine, but the training will take several days.
I wonder if there is the possibility of creating some checkpoints in
caret so that the training of a complex model can be split up into
several jobs to be executed in different days.
I googled
When I use a table, from a Schaum book, I see that for the 95
percentile, with v_1 = 1 and v_2 = 1 the value is 161. In the modern era,
looking values up in a table is less than ideal. Therefore, I would
expect R to have a function to do this and based upon my
reading of the documentation, I wo
Dear Bob,
You want...
> qf( .95,1, 1)
[1] 161.4476
Best, Fraser
-Original Message-
From: Robert Sherry [mailto:rsher...@comcast.net]
Sent: Monday, December 21, 2015 2:51 PM
To: R Project Help
Subject: [R] F Distribution
When I use a table, from a Schaum book, I see that for the 95 pe
You want to use qf which gives you the value at a given percentile. pf
gives you the p-value for a given value of F (inverse)
> qf(0.95, 1, 1)
[1] 161.4476
> pf(161.4476, 1, 1)
[1] 0.95
Peter
On Mon, Dec 21, 2015 at 11:51 AM, Robert Sherry wrote:
>
> When I use a table, from a Schaum book, I
qf() (as you might have figured from the help page for pf())
-pd
> On 21 Dec 2015, at 20:51 , Robert Sherry wrote:
>
>
> When I use a table, from a Schaum book, I see that for the 95 percentile,
> with v_1 = 1 and v_2 = 1 the value is 161. In the modern era,
> looking values up in a tabl
On 18/12/15 22:57, mohsen hs via R-help wrote:
Hello all I am using the following two commands and get two
completely different qq plots while meanlog and sdlog are almost the
same.
What are "meanlog" and "sdlog"? My telepathic capacity is severely
limited, and R's mind_read() function is s
I have two experimental groups (treatment & control) with 6 sets of
observations nested within each group. The number of observations in each set
is not equal.
How do I set up a such an ANOVA in R?
Thank You!
Salvatore Sidoti
PhD Student
Graduate Teaching Assistant
[[alternative
using R 3.2.3 on windows.
> library(caret); library(kernlab);data(spam)
> intrain <- createDataPartition(y=spam$type, p=0.75, list=FALSE)> training <-
> spam[intrain,]
> testing <- spam[-intrain]> set.seed(32343)> modelFit <- train(type
> ~.,data=training, method="glm")
> modelFit> modelFit$final
Merry Christmas everyone:
I have the following data(mydat) and would like to fit a conditional logistic
regression model considering "weights".
id case exposure weights
1 1 1 2
1 0 0 2
2 1 1 2
2 0 0 2
3 1
Looks like homework. If so, you should know that there is a no
homework policy on this list.
If not, it looks like you should do some on your own by
?anova
?t.test
And perhaps some of:
(a) Consulting a statistics text;
(b) Going through an R tutorial (there are many good ones on the Web);
(c) Sh
Hello everyone,
I’m currently working with package geomorph in R to generate a PCA plot. Now I
want to add confidence ellipses to my plot. I couldn’t find any command
integrated in package geomorph for doing this.
So I tried package vegan for adding confidence ellipses but the command does
not w
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