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Quantiles stata command manual: >> http://gfk.cloudz.pw/download?file=quantiles+stata+command+manual << (Download)
Quantiles stata command manual: >> http://gfk.cloudz.pw/read?file=quantiles+stata+command+manual << (Read Online)
To get the same result as `centile` specify type 6, which gives `r quantile(auto$price, 0.75, type="6")`. The Stata commands `summarize, detail`, `xtile`, `pctile` and `_pctile` use yet another method, equivalent to R's type 2. These give the third quartile as `r quantile(auto$price, 0.75, type="2")`. The last three commands have an
The dataset provided answers the question. Consider the tabulation: . tab W_num_exp num_execs_i | ntl_exp, | Winsorized | fraction | .01 | Freq. Percent Cum. ------------+----------------------------------- 0 | 297 16.71 16.71 1 | 418 23.52 40.24 2 | 436 24.54 64.77 3 | 282 15.87 80.64 4 | 171 9.62 90.26 5 | 109 6.13 96.40 6 | 34 1.91
9 Jun 2003 The manual doesn't say this explicitly but the rule "find the smallest index i such that i > P where P = N*(p/100)" ensures that percentiles fits this definition. Hence, it would seems that the commands consider percentile ranks as values that fall within the intervals: interval (p^th perc. rank) corresponds to
I analysed my data in STATA using the command 'centile' for. I am having trouble figuring out what methods STATA uses to evaluate percentiles. The method used by Stata is documented in the documentation, in particular the section "methods and formulas" in the entry for centile in the .pdf manual.
iqreg estimates interquantile range regressions, regressions of the difference in quantiles. The estimated variance–covariance matrix of the estimators (VCE) is obtained via bootstrapping. sqreg estimates simultaneous-quantile regression. It produces the same coefficients as qreg for each quantile. Reported standard errors
R has at least 9 definitions of quantiles and percentiles are just quantile(.) * 100 . This link suggests that the corresponding quantile- type would be type="4" . I was unable to find a percentile or quantile function documented in the Base Stata Manual, but I would welcome correction if that is in error. Nick Cox is right.
Keywords: pr0007, functions, egen, strings, percentile ranks, plotting positions, family data. 1 Functions in couple of shelves of successive Stata manuals, starting with the manual for version 2, a single volume functions implemented as Stata commands, as many commands could fairly be described as implementing a
xtile creates a new variable that categorizes exp by its quantiles. If the cutpoints(varname) option is specified, it categorizes exp using the values of varname as category cutpoints. For example, varname might contain percentiles of another variable, generated by pctile. pctile is a programmer's command that computes up to
Stata provides the summarize command which allows you to see the mean and the standard deviation, but it does not provide the five number summary (min, q25, median, q75, max). You can use the detail option, but then you get a page of output for every variable. If you want to get the mean, standard deviation, and five
17 Sep 2016 Stata has built-in commands -ptile- and -xtile- for calculating the quantile ranks of a variable. For instance: xtile ptile = x,nq(100) assigns to ptile the percentile rank associated with the variable x. For 100 million observations, this took 31 minutes. A faster way is: sort x gen ptile = int(100*(_n-1)/_N)+1 which
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