lint

Author: apragsdale

docs/stats.md

@@ -754,9 +754,9 @@ of return statistics as expected by the user.
 
 Briefly, consider a pair of sites with {math}`n` alleles at the first locus and
 {math}`m` alleles at the second. (Whether this includes the ancestral allele
-depends on whether the statistic is polarised.) Write {math}`f_{i,j}` as the statistic
-computed for focal alleles {math}`A_i` and {math}`B_j`.
-Then the weighting schemes are defined as:
+depends on whether the statistic is polarised.) Write {math}`f_{i,j}` as the
+statistic computed for focal alleles {math}`A_i` and {math}`B_j`. Then the
+weighting schemes are defined as:
 
 - `hap_weighted`: {math}`\sum_{i=1}^{n}\sum_{j=1}^{m}p(A_{i}B_{j})f_{ij}`,
   where {math}`p(A_{i}B_{j})` is the frequency of haplotype {math}`A_{i}B_{j}`.
@@ -847,12 +847,12 @@ matrix for each list of samples.
 Some LD statistics can be computed between sample sets (two-way statistics are
 specified below), in which case `indexes` must be specified that reference the
 indexes of the `sample_sets`, which must be a list of lists of sample nodes.
-This results in an LD matrix computed for each list of indexes.
-The statistics are selected in the same way (with the `stat`
-argument), and these are limited to a handful of statistics (see
+This results in an LD matrix computed for each list of indexes. The statistics
+are selected in the same way (with the `stat` argument), and these are limited
+to a handful of statistics (see
 {ref}`sec_stats_two_locus_summary_functions_two_way`). The dimension-dropping
-rules for the result follow the rest of the tskit stats API in that a single list
-or tuple will produce a single two-dimensional matrix, while list of these
+rules for the result follow the rest of the tskit stats API in that a single
+list or tuple will produce a single two-dimensional matrix, while list of these
 will produce a three-dimensional array, with the first dimension of length
 equal to the length of the list.
 
@@ -910,10 +910,10 @@ set.
 
 ##### One-way Statistics
 
-One-way statistics are summaries of two loci in a single sample set, using a
-triple of haplotype counts {math}`\{w_{Ab}, w_{aB}, w_{AB}\}` and the size of
-the sample set {math}`n`, where the capitalized and lowercase letters in our notation
-represent alternate alleles.
+One-way statistics are summaries of two loci in a single sample set, using
+a triple of haplotype counts {math}`\{n_{Ab}, n_{aB}, n_{AB}\}` and the size of
+the sample set {math}`n`, where the capitalized and lowercase letters in our
+notation represent alternate alleles.
 
 (sec_stats_two_locus_sample_two_way_stats)=
 
@@ -941,8 +941,8 @@ sets of samples (see also the note in {meth}`~TreeSequence.divergence`).
 
 ##### One-way
 
-The two-locus summary functions all take haplotype counts and sample set size as
-input. Each of our summary functions has the signature
+The two-locus summary functions all take haplotype counts and sample set size
+as input. Each of our summary functions has the signature
 {math}`f(n_{Ab}, n_{aB}, n_{AB}, n)`, converting to haplotype frequencies
 {math}`\{p_{Ab}, p_{aB}, p_{AB}\}` where appropriate by dividing by {math}`n`.