Percentile aggregate for SQL Server 2008 R2
sql,tsql,sql-server-2008-r2,aggregate-functions,percentile
I like to do these calculations directly, using row_number()/rank() and window functions. The built-in functions are useful, but they don't actually save that much effort: SELECT id, MIN(CASE WHEN seqnum >= 0.9 * cnt THEN x END) as percentile_90 FROM (select t.*, row_number() over (partition by id order by x)...
Joining 2 tables while getting the 90th percentile of one table's values
sql,oracle,join,nested-queries,percentile
Try this query, it gave me desired output for your examples. select distinct sttr.operation, tss.val1, tss.val2, tss.val3, percentile_disc(0.9) within group (order by sttr.val asc) over (partition by sttr.operation) as "90th Percentile" from sttr join exe on exe.tstart < sttr.time and sttr.time < exe.tend join tss on sttr.operation = tss.step where...
How to compute PERCENTILE in MS Excel when some values are error values
excel,excel-formula,percentile
In Excel 2010 or later versions you can use AGGREGATE function for this, AGGREGATE has an option to ignore error values, so you can use this formula =AGGREGATE(16,6,A1:A10,0.9) See help for AGGREGATE function for more details but 16 denotes the function type - in this case PERCENTILE.INC (the equivalent of...
How should the interquartile range be calculated in Python?
python,statistics,median,percentile,wolframalpha
You have 7 numbers which you are attempting to split into quartiles. Because 7 is not divisible by 4 there are a couple of different ways to do this as mentioned here. Your way is the first given by that link, wolfram alpha seems to be using the third. Numpy...
Selecting Percentile curves using gamlss::lms in R
It's always a good idea to read the help pages: > centiles(h,xvar=abdom$x, cent=c(10,50,90), points=FALSE) % of cases below 10 centile is 8.688525 % of cases below 50 centile is 50.16393 % of cases below 90 centile is 90 ...
How to create quantiles in R and plot histogram
r,histogram,percentile,quantile
Still difficult to figure out what you are trying to accomplish, but this is my best guess: # create reproducible example - you already have this... set.seed(1) df <- data.frame(Y=sample(0:1,100000,replace=T), TOTA=runif(100000,0,18938000)) na <- sample(1:100000,5000) # 5% NA df[na,]$TOTA <- NA # you start here... breaks <- c(0,10^(2:6), 5938000, 10938000, 15938000,...
Creating percentile categories in R
This may be helpful. Using group_by, ntile in dplyr, and your ifelse statement, I came up with the following. library(dplyr) group_by(mydf, vch1, vbin1) %>% mutate(check = ntile(vint1, 100), out = ifelse(check > 99, "cat3", ifelse(between(check, 95, 99), "cat2", ifelse(between(check, 90, 95), "cat1", "N")))) %>% ungroup() # A part of the...
SQL needed Microsoft Office Access to determine percentiles for seperate repeating records
sql,database,ms-access,percentile
Solved what was needed by implementing the following: SELECT Point, MAX(Values) FROM Table WHERE Values IN( SELECT TOP 75 PERCENT Values FROM Table dummy WHERE dummy.Report = "Ammonia" AND Table.Report=dummy.Report ORDER BY dummy.Values ASC ) GROUP BY Point ...
Round vs Truncate in top percent
If you want to ROUND the results, you can calculate your own value to use in TOP (granted, this means that you need to first count the rows of your table, but it's the only way that I can think of doing this, since there isn't a setting for this):...
Getting percentile values from gamlss centile curves
See if this makes sense. The 90th percentile of a normal distribution with mean and sd of 'smn' and 'ssd' is qnorm(.9, smn, ssd): So this seems to deliver (somewhat) sensible results, albeit not the full hack of centiles that I suggested: plot(h$xvar, qnorm(.9, fitted(h), h$sigma.fv)) (Note the massive overplotting...
Percentiles either side of the mean across a matrix - MATLAB
Your approach is correct , but prctile expects percentages (between 0 and 100). So: a = prctile(tcIED.', 90); Or, equivalently, use quantile with proportions (between 0 and 1): a = quantile(tcIED.', 0.9); For example, with your data you get >> a(1) ans = 6190 which means that about 90% of...
Formula to get number between percent
for 50% (halfway) the formula is simply result = (a + b) / 2 in general for a generic percentage k the formula is result = (a*(100-k) + b*k) / 100 ...
Percentile of array (in CUDA ) without sort?
Tae-Sung Shin is correct. Percentile from Histogram is the best way to do this.
Calculate Percentile using LINQ
This is how I did it. I changed a few of the variable names to make the context clearer. var dataSet = new List<double> { 1, 2, 3, 2 }; double denominator = dataSet.Count - 1; var uniqueValues = dataSet.Distinct(); var vp = dataSet.Select(value => new VP { Value =...
Divide derived rank, count columns from subquery to find percentile
I think the datatypes of Cnt and Rnk are INT and hence the result gives you the least value of INT type which is 0. Try casting Cnt and Rnk to FLOAT (cast(Cnt - Rnk) as FLOAT)/CAST(Cnt as FLOAT) ...
LMS (Lambda-Mu-Sigma) method in R
Simulate data (reproducibly): set.seed(1001) mydata <- data.frame( age = sample(5:75, 500, replace=TRUE)) mydata <- transform(mydata, yvar = rnorm(500, age, 20)) Since the LMS method typically appears to be based on variants of the Box-Cox transformation, which requires positive values, a simpler way to do this would be to use quantile...
Categorize dataframe by percentile in R
(After changing "value" to "param") ddf = data.frame(gp1, gp2, param) ddf$category <- with(ddf, ave(param, gp1,gp2, FUN=function(x) x > quantile(x,.95) ) ) > ddf gp1 gp2 param category 1 2 a 20 0 2 2 a 16 0 3 1 a 12 0 4 1 b 16 0 5 3 b...
Is it possible to draw a matplotlib boxplot given the percentile values instead of the original inputs?
python,python-2.7,matplotlib,boxplot,percentile
To draw the box plot using just the percentile values and the outliers ( if any ) I made a customized_box_plot function that basically modifies attributes in a basic box plot ( generated from a tiny sample data ) to make it fit according to your percentile values. The customized_box_plot...