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http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd"><url><loc>https://tomhopper.me/2020/04/28/r-package-numbr-0-11-3-posted/</loc><lastmod>2020-04-28T14:27:50+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2020/01/27/time-to-upgrade/</loc><lastmod>2020-01-24T19:11:59+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/contact/</loc><lastmod>2019-10-29T14:05:12+00:00</lastmod><changefreq>weekly</changefreq><priority>0.6</priority></url><url><loc>https://tomhopper.me/2016/05/03/r-for-excel-users/</loc><lastmod>2017-11-15T18:05:01+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/11/28/sample-size-matters-design-and-experiments/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_diff_detect_prop-1.png</image:loc><image:title>Minimum difference detectable in proportions by sample size</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_diff_detect_sigma-1.png</image:loc><image:title>Minimum difference detectable in standard deviations by sample size</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_diff_detect_mean-1.png</image:loc><image:title>Minimum difference to detect in means by sample size</image:title></image:image><lastmod>2017-10-17T20:36:48+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/11/21/sample-size-matters-uncertainty-in-measurement/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_ppm_confint-1.png</image:loc><image:title>Uncertainty in ppm</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_cpk_confint-1.png</image:loc><image:title>Uncertainty in Cpk</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_prop_confint-1.png</image:loc><image:title>Uncertainty in proportion</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_sd_confint-1.png</image:loc><image:title>Uncertainty in standard deviation</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_mean_confint-1.png</image:loc><image:title>Uncertainty in mean</image:title></image:image><lastmod>2017-10-17T20:36:08+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/11/14/sample-size-matters/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/sampling_diagram_2_unknown_pop.png</image:loc><image:title>Sampling from unknown population</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/sampling_diagram_2_known_pop.png</image:loc><image:title>Sampling from known population</image:title></image:image><lastmod>2017-10-17T20:30:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2017/06/19/understanding-data-through-scales-of-measurement/</loc><lastmod>2017-06-20T07:43:31+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/12/05/sample-size-matters-design-and-cost/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/12/eqn-s_upper-x_bar_upper-x_bar_lower.png</image:loc><image:title>eqn-s_upper-x_bar_upper-x_bar_lower</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/12/eqn-sigma-newmu108.png</image:loc><image:title>eqn-sigma-newmu108</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/12/codecogseqn.png</image:loc><image:title>CodeCogsEqn</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/11/plot_mean_range-1.png</image:loc><image:title>Expected range of acceptable parts</image:title></image:image><lastmod>2016-08-25T14:55:19+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/community_finder/</loc><lastmod>2016-04-02T19:52:41+00:00</lastmod><changefreq>weekly</changefreq><priority>0.6</priority></url><url><loc>https://tomhopper.me/2016/01/15/update-to-plot-qcc/</loc><lastmod>2016-01-12T14:56:11+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2016/01/02/multi-tabbed-reports-in-r-and-shiny/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2016/01/plot_all_states.png</image:loc><image:title>plot_all_states</image:title></image:image><lastmod>2016-01-04T13:59:20+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/about/</loc><lastmod>2014-11-09T14:52:27+00:00</lastmod><changefreq>weekly</changefreq><priority>0.6</priority></url><url><loc>https://tomhopper.me/2014/07/04/the-most-useful-data-plot-youve-never-used/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/stacked_histograms.png</image:loc><image:title>Stacked histograms</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/points_many_data.png</image:loc><image:title>Points plot with many data</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/points_many_data_alpha.png</image:loc><image:title>Points plot with many data using alpha blending</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/points_few_data.png</image:loc><image:title>Points plot with few data</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/histogram.png</image:loc><image:title>histogram</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/boxplots.png</image:loc><image:title>Stacked boxplots</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/boxplots_means.png</image:loc><image:title>Stacked box plots with means</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/06/boxplot_markup_fin.png</image:loc><image:title>Boxplot with markup</image:title></image:image><lastmod>2014-07-04T05:15:57+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/05/23/flowing-requirements-from-the-voc-or-vop/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/05/aircraft_battery_cell.gif</image:loc><image:title>Aircraft battery cell cut-away</image:title><image:caption>General drawing of the structure of aircraft battery's vented type NiCd cell. Ransu. Wikipedia, [http://en.wikipedia.org/wiki/File:Aircraft_battery_cell.gif||http://en.wikipedia.org/wiki/ File:Aircraft_battery_cell.gif]. Accessed 2014-04-04.</image:caption></image:image><lastmod>2014-05-16T13:20:15+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/05/16/can-we-do-better-than-r-squared/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/05/model_plot.png</image:loc><image:title>Plot of the response and factors in a linear model.</image:title></image:image><lastmod>2018-10-15T18:45:13+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/04/25/combining-the-voice-of-the-customer-with-the-voice-of-the-process/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/04/twosidedspecificationcostfunction2.png</image:loc><image:title>Cost curves for a two-sided specification</image:title><image:caption>Percent of target production costs given an average production weight and four different process capabilities.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/04/onesidedspecificationcostfunction2.png</image:loc><image:title>Cost curves for a one-sided specification</image:title><image:caption>Percent of target production costs given an average production weight and four different process capabilities.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/04/dist_plot.png</image:loc><image:title>Distribution plot for 2-sigma, one-sided process</image:title><image:caption>Probability density distribution showing cumulative probability below a target value of 100 shaded in red.</image:caption></image:image><lastmod>2014-04-09T13:37:09+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/04/18/combining-expert-judgements/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/exp_judgements_dists.png</image:loc><image:title>Combining estimation distribution from Subject Matter Experts </image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/exp_judgements_data_entry.png</image:loc><image:title>Subject Matter Experts data entries for estimating a continuous variable</image:title></image:image><lastmod>2014-04-05T14:05:19+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/04/11/issue-logs-and-risk-registers/</loc><lastmod>2014-03-31T18:30:53+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/04/04/apple-google-wage-fixing-and-systems-thinking/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/limits_to_growth1.png</image:loc><image:title>Limits to growth in employee engagement</image:title><image:caption>The classic limits to growth system archetype describes why it's hard to keep employees engaged and hold down turnover.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/limits_to_growth.png</image:loc><image:title>Limits to growth in employee engagement</image:title><image:caption>The classic limits to growth system archetype describes why it's hard to keep employees engaged and hold down turnover.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/shifting_burden.png</image:loc><image:title>Shifting the burden when "fixing" employee turnover</image:title><image:caption>The classic shifting the burden system archetype describes wage-fixing practices as solutions to employee turnover.</image:caption></image:image><lastmod>2014-03-27T09:14:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/03/28/a-simple-introduction-to-the-graphing-philosophy-of-ggplot2/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/basic_ggplot1.png</image:loc><image:title>Basic plot in ggplot2</image:title><image:caption>Demonstration of the key concepts in the grammar of graphics: data, geometries, aesthetic mappings and scale mappings.</image:caption></image:image><lastmod>2014-03-27T08:19:58+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/03/21/normality-and-testing-for-normality/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/normal_vs_t_2.png</image:loc><image:title>Density plot of normal and t distributions</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/lognormal.png</image:loc><image:title>Histogram of p-values for a log-normal distribution</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/lognormal_data.png</image:loc><image:title>Histogram of log-normal data</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/tdist.png</image:loc><image:title>Histogram of p-values for a t distribution</image:title><image:caption>Histogram of p-values for the t distribution, for sample sizes 5, 10 and 1000.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/tdist_normal_tails.png</image:loc><image:title>Histogram of p-values for a t distribution with normal distribution tails</image:title><image:caption>Histogram of p-values for sample sizes 5, 10 and 1000, from a data set constructed from the t distribution in the range -3 to +3 sigmas, with tails from the normal distribution below -3 and above +3. </image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/normdist.png</image:loc><image:title>Histogram of p-values for a normal distribution</image:title><image:caption>Histogram of p-values for the normal distribution, for sample sizes 5, 10 and 1000.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/normdist_tdist_tails.png</image:loc><image:title>Histogram of p-values for a normal distribution with t distribution tails</image:title><image:caption>Histogram of p-values for sample sizes 5, 10 and 1000, from a data set constructed from the normal distribution in the range -3 to +3 sigmas, with tails from the t-distribution below -3 and above +3. </image:caption></image:image><lastmod>2014-04-07T12:30:59+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/03/01/individuals-and-moving-range-charts-in-r/</loc><lastmod>2020-05-25T16:20:29+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2014/03/03/rewriting-plot-qcc-using-ggplot2-and-grid/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/qcc_xchart_orig.png</image:loc><image:title>qcc Individuals Chart</image:title><image:caption>The qcc individuals chart as implemented in the qcc package.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/qcc_xchart_ggplot.png</image:loc><image:title>qcc Individuals Chart in ggplot2</image:title><image:caption>The qcc individuals chart as implemented using ggplot2 and grid graphics.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/qcc_mrchart_orig.png</image:loc><image:title>qcc Moving Range Chart</image:title><image:caption>The qcc moving range chart as implemented in the qcc package.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2014/03/qcc_mrchart_ggplot.png</image:loc><image:title>qcc Moving Range Chart in ggplot2</image:title><image:caption>The qcc moving range chart as implemented using ggplot2 and grid graphics.</image:caption></image:image><lastmod>2018-06-19T14:15:10+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2010/05/17/you-know-youre-a-geek-when/</loc><lastmod>2014-03-02T13:47:42+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2011/11/02/scientific-consensus/</loc><lastmod>2011-11-02T15:34:32+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2011/09/30/and-you-thought-physics-was-yawn/</loc><lastmod>2011-09-30T12:33:31+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2010/11/19/market-for-premium-r-packages/</loc><lastmod>2010-11-20T10:17:20+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2010/09/15/r-function-reference/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/09/r-function-ref-screenshot.png</image:loc><image:title>R Function Reference screenshot</image:title><image:caption>The top-level nodes of the R Function Reference</image:caption></image:image><lastmod>2010-09-17T12:00:29+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2010/08/30/graphing-highly-skewed-data/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/dot-plot-small-multiples-plot.png</image:loc><image:title>Dot Plot Using Small Multiples</image:title><image:caption>The full data, with outliers, is plotted on the left. On the right, a zoomed view showing detail in the smaller values.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/dot-plot-with-full-panel-break1.png</image:loc><image:title>Dot plot with full scale break</image:title><image:caption>Dot plot with a full scale break to show outliers.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/dot-plot-log-scale1.png</image:loc><image:title>Dot plot with logarithmic scale</image:title><image:caption>Skewed data is plotted on a dot plot using a logarithmic scale.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/bar-chart-logarithmic-axis.png</image:loc><image:title>Bar Chart with Logarithmic Axis</image:title><image:caption>Bar chart plotting skewed with logarithmic axis.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/bar-chart-natural-axis1.png</image:loc><image:title>Bar chart plotting all data on same scale</image:title><image:caption>A bar chart with all data, including outliers, plotted on the same scale.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/bar-chart-natural-axis-split1.png</image:loc><image:title>Bar chart with a subtle scale break</image:title><image:caption>Bar chart with outliers plotted by introducing a subtle scale break on the y-axis.</image:caption></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2010/08/bar-chart-natural-axis-secondary-axis1.png</image:loc><image:title>Bar Chart with Outliers on Secondary Axis</image:title><image:caption>Bar chart, with outliers plotted using a secondary axis.</image:caption></image:image><lastmod>2017-06-21T12:33:55+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2010/09/04/process-stability/</loc><lastmod>2010-09-07T12:47:58+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2009/04/10/team-size-and-organizational-structure-part-1/</loc><lastmod>2009-04-10T13:44:41+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2009/03/11/definitions/</loc><lastmod>2009-03-16T18:14:56+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2009/02/16/successful-labs/</loc><lastmod>2009-02-21T03:23:47+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2008/09/30/beginning-to-end/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/11/pd-as-customer-focused-process-2.png</image:loc><image:title>Product Development as Customer-Focused Process</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/11/pd-as-customer-process-cust-persp.png</image:loc><image:title>Product Development as Customer-Focused Process, From the Customer's Perspective</image:title></image:image><lastmod>2008-09-30T13:21:00+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2008/06/18/the-value-of-standard-work/</loc><lastmod>2008-06-18T15:07:59+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2008/01/12/a-bit-about-how-people-and-teams-learn/</loc><lastmod>2008-03-17T06:04:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2007/12/29/waste-in-tps-vs-lean-pd/</loc><lastmod>2007-12-29T13:34:48+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2007/11/04/developing-products-is-about-learning/</loc><lastmod>2007-11-07T16:18:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2007/07/16/innumeracy/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/07/corporate-taxes-and-revenue-2004-graph2.gif</image:loc><image:title>Corporate Taxes and Revenue, 2004, with Lowess curve</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/07/corporate-taxes-and-revenue-2004-graph1.gif</image:loc><image:title>Corporate Taxes and Revenue, 2004, data only</image:title></image:image><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/07/ed-ag112_1corpt_20070712182433.gif</image:loc><image:title>Corporate Taxes and Revenue, 2004</image:title></image:image><lastmod>2007-07-16T23:56:28+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2007/06/24/7/</loc><image:image><image:loc>https://tomhopper.me/wp-content/uploads/2007/06/whiteboard-clean.jpg</image:loc><image:title>Whiteboard for warranty tracking</image:title></image:image><lastmod>2010-06-23T17:09:57+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me/2007/06/01/getting-started/</loc><lastmod>2007-06-01T12:06:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://tomhopper.me</loc><changefreq>daily</changefreq><priority>1.0</priority><lastmod>2020-05-25T16:20:29+00:00</lastmod></url></urlset>
