-0500
On Feb 7, 2012, at 8:43 PM, Jeffrey Joh wrote:
Hi David, I am not sure how ddply/summarize solves my issue. I have
the following table:
ID measurement date door color
1 0.93529385 513 open red
2 0.97419293 420 open red
3 0.962053514 513 closed red
4 0.963909937 1230 open
] On
Behalf Of Jeffrey Joh
Sent: Monday, February 06, 2012 4:28 PM
To: r-help@r-project.org
Subject: [R] Table rearranging
I have a table that looks like this:
measurementdatedoorcolor
0.93529385513openred
0.97419293420openred
09:08:00 -0500
On Feb 7, 2012, at 4:21 AM, Jeffrey Joh wrote:
Thank you for your help, Bill.
From the original table (not the plyr output), I would like to
remove all the lines that do not have a corresponding open/closed
measurement. For example, if there is a Closed yellow
I have a table that looks like this:
measurement date door color
0.93529385 513 open red
0.97419293 420 open red
0.962053514 513 closed red
0.963909937 1230 open blue
0.97652034 1230 open green
0.989310795 1230 closed blue
0.9941022
The gray (level) function returns different shades of gray, where level is a
vector of numbers ranging from 0 to 1. 0 is white and 1 is black and
everything in between is a shade of gray.
Is there a function that will let me choose two different colors? For example,
a 0 might be blue and 1
I have a text file with states and numbers. I would like to display each
number that corresponds to a state on a map.
I am trying to use the maps package, but it doesn't show Alaska or Hawaii. Do
you have suggestions on how to do this?
Jeffrey
For each date, I would like to keep the line with the lowest speed and discard
the rest. The result would have one line for each date. Can I use aggregate
for this?
My table is as follows:
structure(list(speed = c(3,9,14,8,7,6), result = c(0.697, 0.011, 0.015, 0.012,
0.018, 0.019), house
...@bitwrit.com.au
To: johjeff...@hotmail.com
CC: r-help@r-project.org
Subject: Re: [R] Binned line plot
On 11/22/2011 04:29 PM, Jeffrey Joh wrote:
I have a scatter plot with 1 points. I would like to add a line that
bins every 50 points and connects the average of each bin. I'm looking
I have a scatter plot with 1 points. I would like to add a line that bins
every 50 points and connects the average of each bin. I'm looking for
something similar to line type m in Stata.
With this dataset of 1 points, I would also like to bin the data and make
boxplots at certain
I have a table that looks like this:
structure(list(speed = c(3,9,14,8,7,6), result = c(0.697, 0.011, 0.015, 0.012,
0.018, 0.019), house = c(1,
1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
id = c(1000, 1,
10001, 10002, 10003, 10004)), .Names = c(speed,
result,
, 2011 at 2:56 PM, Jeffrey Joh johjeff...@hotmail.com wrote:
I have a table that looks like this:
structure(list(speed = c(3,9,4,8,7,6), C = c(0.697, 0.011, 0.015, 0.012,
0.018, 0.019), house = c(1,
1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
hour = c(18, 8, 8, 8, 11
I have a table that looks like this:
structure(list(speed = c(3,9,4,8,7,6), C = c(0.697, 0.011, 0.015, 0.012, 0.018,
0.019), house = c(1,
1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
hour = c(18, 8, 8, 8, 11, 11), id = c(1000, 1,
10001, 10002, 10003, 10004)),
I have a data frame that is about 40 columns by 1 rows. I want to get the
dput of small portion of that by using dput(results[1:10,3:6]). The dput is
very long and includes all the values from the original data frame. Why is
that?
Jeffrey
Is it possible to smooth an ecdf plot and get a probability density plot? I
have about 8000 points and I was hoping to get a density curve instead of a
histogram.
Jeff
__
R-help@r-project.org mailing list
be able to produce graphics for each
data subset using the data.table package as well.
If you want a more concrete solution, provide a more concrete example.
HTH,
Dennis
On Fri, Aug 5, 2011 at 9:55 AM, Jeffrey Joh johjeff...@hotmail.com wrote:
I aggregated my data: aggresults
I aggregated my data: aggresults -aggregate(results, by=list(results$a,
results$b, results$c), FUN=mean, na.rm=TRUE)
results has about 8000 lines of data, and aggresults has about 80 lines. I
would like to create a separate variable for each of the 80 aggregates, each
containing the 100
I have a matrix that looks like this:
structure(c(0.0376673981759913, 0.111066500741386, 1, 1103,
18, OPEN, DEPR, 0.0404073656092023, 0.115186044704599,
1, 719, 18, OPEN, DEPR, 0.0665342096693433, 0.197570061769498,
1, 1103, 18, OPEN, DEPR, 0.119287147905722, 0.356427096010845,
1, 1103, 18,
I have the following:
Tout = c(., .,
+ -51.0, -9.6, -9.6, -9.6, -9.6, -9.6, -9.6,
+ -9.6, -9.5, -9.5, -9.6, -9.5, -9.6, -9.6,
+ -9.5, -9.4, -9.3, -9.3, -9.3, -9.2, -9.0,
+ -9.0, -8.9, -8.9, -8.9)
How can I take the mean while ignoring the null values? I
I would like to reorder a two-column table by column A, then fill column B with
the values above it. For example: Original:A B2 545 NA8 784 NULL3
269 NULL First sort by column A:A B2 543 264 NULL5 NA8
789 NULL Then replace null/na values in column
30, 2011, at 2:25 AM, Jeffrey Joh wrote:
I would like to reorder a two-column table by column A, then fill
column B with the values above it. For example: Original:A B2
545 NA8 784 NULL3 269 NULL First sort by column A:A
B2 543 264 NULL5 NA8 789
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