Displaying 11 results from an estimated 11 matches similar to: "Quartile regression question"
2011 Feb 27
3
nested case-control study
Hi, I am wondering if there is a package for doing conditional logistic
regression for nested case-control study as described in "Estimation of absolute
risk from nested case-control data" by Langholz and Borgan (1997) where
Horvitz-Thompson sampling weight (log of (number in the risk set divided by the
number sampled)) is used with regression. In SAS Proc Phreg, this is implemented
2003 Jul 19
2
I don't find "fuzzy matching"
hello.
I'm a student that work on R.(version 1.7.0)
I need to some data frames such as
"possum","Beams"'"kiwishade","dolphins",... .
I typed help.search("possum") and so on,but the
response was "No help files found with alias or title
matching 'possum' using fuzzy matching.".
I dont know what is "fuzzy matching"
2008 Apr 03
1
prettyR 25% quartile, 75% quartile
I am using the describe function in prettyR. I would like to add the
25% 75% quartiles to the summary table
how do I do this
I have tried
describe(x.f, num.desc=c("mean", "median", "sd", "min", "max",
"skewness", "quantile(x.f, na.rm=T, probs=seq(0.25, 0.75))",
"valid.n"))
help
--
Let's not spend our time
2010 Jan 22
2
Quartiles and Inter-Quartile Range
Why am I getting a wrong result for quartiles?
here is my code:
> cbiomass = c(910, 1058, 929, 1103, 1056, 1022, 1255, 1121, 1111, 1192,
> 1074, 1415)
> summary(cbiomass)
> IQR(cbiomass)
The result R gives me is:
For the summary
> Min. 1st Qu. Median Mean 3rd Qu. Max.
910 1048 1088 1104 1139 1415
For IQR
> 91.25
*********
The true Q1 is 1039
2011 Sep 28
1
Negative Quartile
Hello, I have a doubt, but it is more statistic than just about R: How
the people deal usually with negative percentile and quartile? In my
concrete case, I want to know the distribution of an error, so the
nearest it is to 0 the better (I think it would be optimun to have the
nearest values to 0 in the lower percentiles). The best result would
be making the percentile of the absolute value
2012 Oct 17
2
loop of quartile groups
Greetings R users,
My goal is to generate quartile groups of each variable in my data set. I
would like each experiment to have its designated group added as a
subsequent column. I can accomplish this individually with the following
code:
brks <- with(data_variables,
cut2(var2, g=4))
#I don't want the actual numbers, I need a numbered group
data$test1=factor(brks,
2001 Jul 10
1
returning quartiles of a list?
Hi, all. I have a list:
process <- c( 5 , 7 , 4 , 1 , 4 , 1)
and I'd like to get each half (or each third or each quartile) of the list:
process.firsthalf would be (5, 7, 4) and
process.secondhalf would be (1, 4, 1).
note that I'm not interested in the numeric quartiles (then I could
use quantile or several other functions).
what is the best way to get this kind of thing? for
2007 Apr 11
1
Boxplot with quartiles generated from different algorithms
R users:
I am trying to replicate the boxplot output I achieve with Minitab in R.
I realize that R gives the user many more options on the algorithm used
to
calculate the IQR than Minitab, so I concentrated on type=6 when using
the quantile() function in R. The problem I am having is setting the
upper and
lower limit of the whisker based on the nearest actual data that should
be included.
If
2007 Jun 16
2
Visualize quartiles of plot line
Hello,
I'm currently using a simple plot to visualize some mean values. I'm
having ~200 datapoints on the x-axis, each has 10 records. I'm
currently plotting only the mean value of each of the datapoints.
What I need is a way to visualize the quartiles/error/whatever of
these points. I thought about boxplots, but I have to many points on
the xaxis - it would be impossible to see
2011 Oct 31
3
How to get Quartiles when data contains both numeric variables and factors
When data contains both factor and numeric variables, how to get quartiles
for all numeric variables?
n <- 100
x1 <- runif(n)
x2 <- runif(n)
x3 <- x1 + x2 + runif(n)/10
x4 <- x1 + x2 + x3 + runif(n)/10
x5 <- factor(sample(c('a','b','c'),n,replace=TRUE))
x6 <- factor(1*(x5=='a' | x5=='c'))
data1 <- cbind(x1,x2,x3,x4,x5,x6)
data
2007 Feb 12
6
Boxplot: quartiles/outliers
For boxplot(), is it possible to pass in a parameter to change the default
way that the 1st and 3rd quartiles are computed? (specifically, I'd like to
use type 6 described in the quantile function).
Also, what are the options for how outliers are computed, and how can one
change them?
Thank you
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