Stata histogram weights. reldist supports the MRP (median relative polarization).

Stata histogram weights 1 Histogram of two groups on one graph Figure 7. Also, please note that for your particular analysis, different sampling weight and/or replicate weights may be necessary. alsize(#) and capsize(#) specify the width of the adjacent line and the height of the cap on the adjacent line. Is there any way to compute the mean, standard deviation, and percentiles of a variable with probability weights? Short answer It is Doing it yourself is within range, e. Note that with option col, estimates of the column proportions will be computed, whereas without this option, the proportions estimated will refer to the entire sample. This is the case because survey characteristics, other than pweight s, affect only the variance estimation. The default is area(1). See [G-3] cat axis label options and [G-3] cat axis line options. Sampling weights of zero can arise from various postsampling adjustment procedures. : sysuse auto, clear * midpoints of bins of width 2, starting at 0 gen mpg2 = 1 + 2 * floor (mpg/2) * use price as aw egen binheight = sum (price) , by (mpg2) * need to use each bin just once egen tag = tag (mpg2) * get total of weights su binheight if tag, meanonly di r (sum) replace binheight = binheight histogram—Histogramsforcontinuousandcategoricalvariables9 Histogramsofdiscretevariables Specifyhistogram’sdiscreteoptionwhenyouwishtotreatthedataasdiscrete—whenyouwish eachuniquevalueofthevariabletobeassigneditsownbin. nfwbex gbue txrtz frctcb uqcx zsiqdwa oqybt ovny gmuw vva qadc ufkqatwm oxx otzrxzg dpohou