title: Lognormal Distribution (Alternative Parameterization)
body: <p>I would like to know how Alternative Parameterization has done in EvaStats 
  package ( based on AM, GM, log10) etc; I tried log10; but failed! help</p>
  
  <pre><code>x=c(1151, 453, 1530, 2852, 1382)
  meanx=mean(x);sdx=sd(x); cvx=sd/mean; 
  meanx; sdx; cvx
  </code></pre>
  
  <p>[1] 1473.6;   [1] 874.2501;   [1] 0.5932751</p>
  
  <pre><code>y1=log(x)   # log(e) base
  mean1=mean(y1);sd1=sd(y1); cv1=sd1/mean1;
  mean1; sd1; cv1; 
  </code></pre>
  
  <p>[1] 7.136873  ; [1] 0.6648726; [1] 0.09316022 </p>
  
  <p>Now The Lognormal Distribution (Alternative Parameterization); </p>
  
  <pre><code>library(EnvStats)
  (p=seq(0.1,1,0.1)); 
  qlnormAlt(p, mean =meanx, cv=cvx) 
  </code></pre>
  
  <p>P[X ≤ x]==> [1]  626.9803  798.3150  950.2311 1102.7414 1267.3461 1456.5211 # 1690.2899 [8] 2011.9454 2561.7490       Inf</p>
  
  <pre><code>qlnorm(p, meanlog = mean1, sdlog = sd1, lower.tail =TRUE,  log.p = FALSE)
  </code></pre>
  
  <p>P[X ≤ x]==> [1]  536.3594  718.5980  887.3269 1062.5527 1257.4901 1488.1910 
   1782.0729 # [8] 2200.5088 2948.1747       Inf  (same result in excel )</p>