8,783 research outputs found

    Rweb:Web-based Statistical Analysis

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    Rweb is a freely accessible statistical analysis environment that is delivered through the World Wide Web (WWW). It is based on R, a well known statistical analysis package. The only requirement to run the basic Rweb interface is a WWW browser that supports forms. If you want graphical output you must, of course, have a browser that supports graphics. The interface provides access to WWW accessible data sets, so you may run Rweb on your own data. Rweb can provide a four window statistical computing environment (code input, text output, graphical output, and error information) through browsers that support Javascript. There is also a set of point and click modules under development for use in introductory statistics courses.

    Rweb:Web-based Statistical Analysis

    Get PDF
    Rweb is a freely accessible statistical analysis environment that is delivered through the World Wide Web (WWW). It is based on R, a well known statistical analysis package. The only requirement to run the basic Rweb interface is a WWW browser that supports forms. If you want graphical output you must, of course, have a browser that supports graphics. The interface provides access to WWW accessible data sets, so you may run Rweb on your own data. Rweb can provide a four window statistical computing environment (code input, text output, graphical output, and error information) through browsers that support Javascript. There is also a set of point and click modules under development for use in introductory statistics courses

    Universal Instructional Design: Tools for Creating an Inclusive Educational Experience

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    The number of students with disabilities on college campuses in the United States is growing. To address the needs of these students, all campus community members must evaluate the degree to which the campus environment and social climate are welcoming to students with disabilities. The barriers students with disabilities face can be seen in the classroom, academic and administrative buildings, and in relationships among campus community members. Universal instructional design is an approach to address the needs of students with disabilities and deconstruct prejudice against them

    The Box-Percentile Plot

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    A variant of the boxplot is proposed in which the sides contain the information of a percentile plot (which is equivalent to the empirical cumulative distribution function). Unlike boxplots, there is no question about how long to draw the whiskers, nor is there loss of information due to grouping. Side-by-side comparisons of distributions are especially effective. In spite of including more detail, the impact on statistically-untrained readers remains similar to that of traditional boxplots.

    Identification of Novel Pesticides for Use against Glasshouse Invertebrate Pests in UK Tomatoes and Peppers

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    To inform current and future pesticide availability to glasshouse vegetable growers, the current project trialled more than twenty products, including existing industry standards, against four key pests of glasshouse tomatoes and bell peppers. These included experimental conventional chemical pesticides as well as alternative biopesticide and biorational products based on phytochemicals, microbials and physically-acting substances. The results suggest that certain biopesticide products, particularly botanicals, provide good levels of pest control, with the same being true of experimental conventional chemical pesticides not yet recommended for use against these pests on these crops. Efforts are on-going to ensure that results of the current project translate to industry benefit via new pesticide approvals

    Immiseration Capitalism

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    The Box-Percentile Plot

    Get PDF
    A variant of the boxplot is proposed in which the sides contain the information of a percentile plot (which is equivalent to the empirical cumulative distribution function). Unlike boxplots, there is no question about how long to draw the whiskers, nor is there loss of information due to grouping. Side-by-side comparisons of distributions are especially effective. In spite of including more detail, the impact on statistically-untrained readers remains similar to that of traditional boxplots
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