title: Cobalt love.plot has asymmetric error bars that I cannot remove
body: <p>I have a quasi-experimental dataset with two groups and two assessments (pre-intervention and post-intervention) that has a little bit of pre-test missingness (between &lt;1% to 5%, depending on variable). I am using propensity-score matching to make claims of intervention effectiveness. I first used mice to multiple impute 50 complete pre-test datasets. I then used matchThem to conduct 2:1 propensity score matching. Here's my abbreviated code for the PSM (x stands for pretest variable e.g., race):</p>
  <pre><code>m.out = matchthem(group ~ x1+ x2.... + x17,
                  data = df, 
                  approach = &quot;within&quot;, 
                  method = &quot;nearest&quot;,
                  ratio = 2)
  </code></pre>
  <p>Everything looks good. I then made a love plot. The love plot looks nice, but both the matched and unmatched data have &quot;error bars.&quot; None of the help docs I've seen for cobalt show error bars and there doesn't seem to be a command for removing them. They are asymmetric, which raised a reviewer concern. I get error bars when using love.plot with little customization:</p>
  <pre><code>love.plot(m.out, binary = &quot;std&quot;)
  </code></pre>
  <p>and when using love.plot with lots of customization:</p>
  <pre><code>v &lt;- data.frame(old = c(&quot;distance&quot;,&quot;x1&quot;,.... &quot;x17&quot;),
              new = c(&quot;Propensity score&quot;, &quot;Wave&quot;,... &quot;Search for purpose&quot;))
  
  love.plot(m.out, 
        threshold = c(m = .1), 
        binary = &quot;std&quot;, 
        abs = FALSE,
        var.order = &quot;unadjusted&quot;, 
        var.names = v,
        limits = c(-0.5, 0.5), 
        grid = FALSE, 
        wrap = 100,
        sample.names = c(&quot;Unmatched&quot;, &quot;Matched&quot;),
        position = &quot;top&quot;, 
        shapes = c(&quot;circle&quot;, &quot;triangle&quot;),
        drop.distance=TRUE,
        disp.sds =FALSE,
        colors = c(&quot;gray10&quot;, &quot;gray50&quot;)
        )
  </code></pre>
  <p><a href="https://i.stack.imgur.com/eQerS.png" rel="nofollow noreferrer">enter image description here</a></p>
  <p>Anyone know how to remove the error bars or what statistics they are based on?</p>
  <p>I'm using R studio 2021.09.2 Build 382, cobalt 4.3.2</p>