Displaying 20 results from an estimated 2000 matches similar to: "Binning or grouping data"
2009 Nov 09
2
Complicated For Loop (to me)
Hello,
I'm trying to run a loop that will subset my data into specific sets by
regions and by race/ethnicity. I'm trying to do this fairly compactly, and
I cannot get this to work.
A "simple" version of the code that I am trying to run is:
names <- c("white", "black", "asian", "hispanic")
for(j in names){
for(i in 1:9){
2007 Jul 03
1
Please help with legend command
Hi R-ers:
I'm drawing a plot and have used different line types (lty) for
different race/ethnicity groups. I want a legend that explains what line
types correspond to the different race/ethnicity groups. I used the
following code:
legend( 1992 , 42 , c("Hispanic" , "non-Hispanic white (NHW)" ,
"non-Hispanic black" , "AI/AN" , "Asian" ) ,
2011 Feb 01
1
dotchart {graphics} 2.11.1 vs. 2.12.1
I have a factor vector of subject races (Asian, Black, Hispanic, White; n=30) that I want to plot with a Cleveland dotplot or dotchart.
I tried the following in R2.12.1 :
> dotchart(table(school$Race))
Error in plot.xy(xy.coords(x, y), type = type, ...) : invalid plot type
Using the same data set in R2.11.1 the operation succeeded (I tried several variations to be sure):
>
2006 Sep 11
5
Successive Graphs
Hello! I have written an R script on a Windows platform where I
calculate eight result matrices I plot using matplot. I would like to
display the resulting plots successively, rather than simultaneously,
and I was wondering if anyone could point me in the right direction as
to how to do this. The graphs pop up in this manner by default when I
run my script in S-PLUS, with tabs separating them so I
2008 May 28
1
manipulating multiply imputed data sets
Hi folks,
I have five imputed data sets and would like to apply the same
recoding routines to each. I could do this sort of thing pretty
easily in Stata using MIM, but I've decided to go cold turkey on other
stats packages as a incentive for learning more about R. Most of the
recoding is for nominal variables, like race, religion, urbanicity,
and the like. So, for example, to recode race
2010 Oct 02
3
Non-Parametric Adventures in R
I just started using R and I'm having all sorts of "fun" trying different
things.
I'm going to document the different things I'm doing here as a kind of case
study. I'm hoping that I'll get help from the community so that I can use R
properly.
Anyways, in this study, I have demographic data, drug usage data, and side
effect data. All of this is loaded into a csv
2008 Jan 07
1
recode() function results in logical output, not factor output
Dear R Users:
I have race-ethnicity groups identified in the factor variable Ethnic_G.
I need to collapse Ethnic_G into a new variable with only two factors, 1 (White, non-Hispanic) and 2 (Minority).
As seen in the code and output below, the recoded race-ethnicity variable is put into logical format, not factor format.
I've used library(car) and the package was updated.
Any ideas on
2012 Dec 03
2
Excluding all missing values with dcast ("reshape2" package)
Hello--I'm doing a simple crosstab using dcast:
rawfreq <- dcast(nh11brfs, race3~CHCCOPD, length)
with the results
race3 Yes No NA
1 White non-Hispanic 446 5473 21
2 Other non-Hispanic 29 211 0
3 Hispanic 6 81 1
4 <NA> 10 83 1
How would I modify this call to exclude all missing values; that is, to
obtain
race3
2018 Oct 16
2
Comprobar los nombres de columnas entre varios dataframes
Buenas tardes,
Quiero aplicar la función rbind y necesito tener los mismos nombres de
columnas. Como tengo unas 195 variables en cada dataframe, necesito
hacerlo de una forma rápida. Tengo 9 bases de datos y tengo que fusionar
todas. ¿Como puedo comprobar que los nombres de las variables son los
mismos? Y de lo contrario, ¿como detecto las diferencias?
He probado con
2010 Jul 02
1
help with the xtable package
HI, Dear R community,
I am using the xtable to create the table, but how can I see the table?
The following is the codes I used:
> data(tli)
> tli.table <- xtable(tli[1:10, ])
> digits(tli.table)[c(2, 6)] <- 0
> print(tli.table, floating = FALSE)
% latex table generated in R 2.11.0 by xtable 1.5-6 package
% Thu Jul 1 20:43:43 2010
\begin{tabular}{rrlllr}
\hline
&
2010 Mar 25
3
Returning Data Frame from Function for use Outside Function
I have a function (see below) that does some bootstrapping (I am happy to
expand offline why I could use existing functions.) I put my results into
and empty matrix and add a row of results with each iteration. My problem is
i am a new user to R and I don't understand data frames, matrices, elements,
and vectors well. What I would like is to have a data frame I can manipulate
outside of the
2017 Jul 09
2
Help with ftable.svyby
Hi all,
When I try the following with pkg Survey it returns the error below:
ftable(svyby(~INCOME, ~AGECL+RACECL, svymean, design=q50),
rownames=list(AGECL=c("<35", "35-44", "45-54", "55-64",
"65-74", ">=75"),
RACECL=c("white non hispanic", "non white or
2009 Oct 31
1
Help me improving my code
Hi,
I am new to R. My problem is with the ordered logistic model. Here is my
question:
Generate an order discrete variable using the variable
wrwage1 = wages in first full calendar quarter after benefit application
in the following way:
*
wage*1*Ordered *=
1 *if*0 *· wrwage*1 *< *1000
2 *if*1000 *· wrwage*1 *< *2000
3 *if*2000 *· wrwage*1 *< *3000
4 *if*3000 *· wrwage*1 *<
2009 Oct 02
3
Tabulating using arbitrary numbers of factors
Dear R-help,
First of all, thank you VERY much for any help you have time to offer. I
greatly appreciate it.
I would like to write a function that, given an arbitrary number of factors
from a data frame, tabulates the number of occurrences of each unique
combination of the factors. Cleary, this works:
> table(horse,date,surface)
<SNIP>
, , surface = TURF
2017 Jul 09
0
Help with ftable.svyby
try resetting your factor levels and re-run?
q50 <- update( q50 , INCOME = factor( INCOME ) , AGECL = factor( AGECL ) ,
RACECL = factor( RACECL ) )
On Sun, Jul 9, 2017 at 2:59 PM, Orsola Costantini via R-help <
r-help at r-project.org> wrote:
> Hi all,
>
> When I try the following with pkg Survey it returns the error below:
>
> ftable(svyby(~INCOME, ~AGECL+RACECL,
2007 Oct 28
1
tree problem
I am trying to use tree to partition a data set. The data set has 3924
observations. Partitioning seems to work for small subsets of the data,
but when I use the entire data set, no partitioning occurs. The
variables are:
RESP respondent to a survey (0 = not a respondent, 1 =
respondent)
AGE_P Age (continuous)
ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic)
RACRECI2 Race
2012 Dec 08
4
read.table()
Hi List,
I have spent more than 30 minutes, but failed to read in this file using the read.table() function. I could not figure out how to fix the following error.
Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 6 elements
Any help would be be appreciated.
Thanks,
Pradip Muhuri
####### below is the reproducible example
xd1 <-
2018 Aug 21
2
different output with fast-math flag
Why the output is different for this below program when compiled using
clang with fast-math optimization
#include<stdio.h>
int main() {
double d = 1.0;
double max = 1.79769e+308;
d /= max;
printf("d:%e:\n", d);
d *= max;
printf("d:%e:\n", d);
return 0;
}
prints 0 with fast math but 1 without fast math.
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An
2010 Jun 22
3
OT: Recommendation for a good Internationalized terminal software
Hi all,
We've got server-based application that runs on CentOS. Until now,
most of our customer's end-users have accessed the application using
either PuTTY or Teraterm. I was asked yesterday to try and find
internationalized add ons or alternatives for our new Asian customers
(Japan, Korea and China atm).
I figured if anyone would be able to recommend terminal emulation
2008 Sep 23
3
odds ratio: how to create reference
HI there,
i know this is a basic question, though i need some help because this
is somewhat away from my current issue, but nevertheless interesting
to me... Lets assume i have some estimated probabilities, say
estimated by a logit model. i know i can also state them as an odds
ratio.
Now i?d like to state these odds ratios as a reference to a specific
outcome of my investigated