{"id":6312,"date":"2021-06-03T10:35:38","date_gmt":"2021-06-03T10:35:38","guid":{"rendered":"https:\/\/hacto.umh.es\/estadistica-con-r-commander\/"},"modified":"2026-07-22T09:22:11","modified_gmt":"2026-07-22T09:22:11","slug":"estadistica-con-r-commander","status":"publish","type":"page","link":"https:\/\/hacto.umh.es\/en\/estadistica-con-r-commander\/","title":{"rendered":"Statistics with R Commander"},"content":{"rendered":"

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[\/et_pb_fullwidth_menu][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” _builder_version=”4.17.4″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_stops=”#93b247 0%|#287f41 100%” background_color_gradient_start=”#474ab6″ background_color_gradient_end=”#9271f6″ background_image=”https:\/\/hacto.umh.es\/files\/2024\/10\/coding-background-texture.jpg” background_blend=”overlay” custom_padding=”30px|0px|30px|0px||” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Become an Expert” _builder_version=”4.17.4″ _module_preset=”default” animation_direction=”bottom” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” header_font=”||||||||” header_2_font=”|700|||||||” header_2_font_size=”36px” header_2_line_height=”1.3em” background_layout=”dark” custom_margin=”||20px|” animation_direction=”bottom” hover_enabled=”0″ locked=”off” global_colors_info=”{}” header_font_size__hover=”30px” header_font_size__hover_enabled=”30px” header_letter_spacing__hover=”0px” header_letter_spacing__hover_enabled=”0px” header_text_shadow_style__hover=”none” header_text_shadow_style__hover_enabled=”none” header_text_shadow_color__hover=”rgba(0,0,0,0.4)” header_text_shadow_color__hover_enabled=”rgba(0,0,0,0.4)” sticky_enabled=”0″]<\/p>\n

Statistics with R Commander<\/span><\/em><\/h2>\n

[\/et_pb_text][et_pb_image src=”https:\/\/hacto.umh.es\/files\/2026\/04\/R-Commander-cabecera.png” title_text=”R Commander cabecera” align=”center” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.17.4″ _module_preset=”default” width=”50%” module_alignment=”center” animation_direction=”right” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Service Section” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|||” custom_padding=”29px||30px|||” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Service Section Title” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|auto|0px|auto||” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Data analysis can be performed with <\/strong> assurance, self-reliance, and the advantages of open-source tools.<\/em><\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” text_font=”|600|on||||||” text_font_size=”18px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Do you have data but don’t know where to start?
Are you unsure which statistical test to choose or how to interpret a regression model?
Would you like to analyze your results without relying on expensive proprietary software?<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ hover_enabled=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” use_border_color=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

At InTeO<\/a> we train occupational therapists, healthcare professionals, and researchers to analyze, interpret, and confidently present their data using R and R Commander, a free, reproducible, and internationally recognized statistical environment that aligns with current standards in scientific research.<\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/hacto.umh.es\/files\/2026\/04\/Logo-UMH-INTEO-R-RCOMMANDER.png” title_text=”Logo UMH INTEO R RCOMMANDER” align=”center” _builder_version=”4.17.4″ _module_preset=”default” width=”70%” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Service Section” _builder_version=”4.17.4″ _module_preset=”default” background_color=”#ededed” custom_margin=”|||” custom_padding=”29px||30px|||” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Service Section Title” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|auto|0px|auto||” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

What will you gain from these <\/strong>courses? <\/em><\/h2>\n

[\/et_pb_text][et_pb_blurb title=”Analyze your own data independently” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][et_pb_blurb title=”Choose the appropriate statistical method for your study design” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][et_pb_blurb title=”Correctly interpret statistical results” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][et_pb_blurb title=”Write the statistical methods and results sections of a scientific paper” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][et_pb_blurb title=”Work with reproducible, up-to-date analytical tools” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][et_pb_blurb title=”Eliminate the need for costly software licenses” use_icon=”on” font_icon=”||fa||900″ icon_color=”#097200″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”|600|on||||||” header_text_align=”left” header_font_size=”17px” module_alignment=”left” animation=”off” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Service Section” _builder_version=”4.17.4″ _module_preset=”default” background_color=”#fcfcfc” custom_margin=”|||” custom_padding=”29px||30px|||” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Service Section Title” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|auto|0px|auto||” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Why do we work with <\/strong>R and Open-Source Software?<\/em><\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ hover_enabled=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” use_border_color=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

At InTeO, we are we are committed to open science, reproducible research, and equitable access to scientific knowledge. <\/strong>.You can read our published letter on this topic through the link.<\/a> below.<\/p>\n

We work with R<\/strong>, a programming language and statistical computing environment originally developed by Robert Gentleman and Ross Ihaka at the University of Auckland. Today, R is one of the international standards for statistical analysis and scientific research.<\/p>\n

For those new to R, we begin with R Commander<\/strong>, an intuitive graphical user interface that allows users to perform statistical analyses through a visual environment while benefiting from the full power and flexibility of R.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” text_font=”|600|on||||||” text_font_size=”18px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

If you currently use software such as SAS, SPSS, Stata, or Systat, why not switch to R? Consider the following advantages\u2026<\/em><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”Services” _builder_version=”4.17.4″ _module_preset=”default” max_width=”80%” custom_padding=”25px||25px|” use_custom_width=”on” width_unit=”off” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Free” use_icon=”on” font_icon=”||fa||400″ icon_color=”#93b247″ image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Whether you are a student, educator, or researcher, using R comes with clear financial and practical advantages.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=” Cross-Platform” use_icon=”on” font_icon=”||fa||900″ icon_color=”#93b247″ image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

R runs on multiple operating systems, including Windows, macOS, and Unix\/Linux.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Flexible Programming” use_icon=”on” font_icon=”||fa||900″ icon_color=”#93b247″ image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

R provides a powerful environment for developing and implementing new statistical methods with ease.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”Services” _builder_version=”4.17.4″ _module_preset=”default” max_width=”80%” custom_padding=”25px||25px|” use_custom_width=”on” width_unit=”off” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Advanced Statistical Methods” use_icon=”on” font_icon=”||divi||400″ icon_color=”#93b247″ image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

It includes cutting-edge statistical techniques that are often unavailable in other statistical software packages.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”High-Quality Graphics” use_icon=”on” font_icon=”||fa||900″ icon_color=”#93b247″ image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#353740″ header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#747d88″ body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_width_all=”0px” border_color_all=”#dddddd” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Create publication-ready data visualizations using state-of-the-art graphical tools.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Service Section” _builder_version=”4.17.4″ _module_preset=”default” background_color=”RGBA(255,255,255,0)” use_background_color_gradient=”on” background_color_gradient_stops=”#93b247 50%|#287f41 100%” custom_margin=”|||” custom_padding=”29px||30px|||” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”Service Section Title” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|auto|0px|auto||” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Our <\/strong>Training Courses<\/em><\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ admin_label=”Service Section Title” _builder_version=”4.17.4″ _module_preset=”default” custom_margin=”|auto|0px|auto||” animation_direction=”top” saved_tabs=”all” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_blurb title=”Quantitative data analysis with R Commander” use_icon=”on” font_icon=”||divi||400″ icon_color=”#FFFFFF” image_icon_width=”60px” _builder_version=”4.17.4″ _module_preset=”default” header_font=”Montserrat|on|||” header_text_color=”#FFFFFF” header_font_size=”22px” header_line_height=”1.4em” body_font=”Montserrat||||” body_text_color=”#FFFFFF” body_font_size=”16px” body_line_height=”1.8em” text_orientation=”center” custom_padding=”30px|30px|30px|30px” animation=”off” hover_enabled=”0″ border_radii=”on|6px|6px|6px|6px” border_width_all=”2px” border_color_all=”#FFFFFF” border_style_all=”solid” use_border_color=”on” border_color=”#dddddd” icon_font_size=”60px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Level: <\/strong> Beginner \u2013 Intermediate
Format:<\/strong> 100% online (Self-paced)
Includes: <\/strong> One-to-one tutoring<\/p>\n

Objective
<\/strong><\/p>\n

To equip participants with the skills to create, manage, and analyze datasets using univariate and bivariate statistical methods applied to Occupational Therapy and Health Sciences research.<\/p>\n

Course Content<\/strong><\/p>\n