# Combine Plot And Table R

If you have an analysis to perform I hope that you will be able to find the commands you need here. Also, the color is not reproduced by the example. For example, consider the trees data set that comes with R. csv function. In the real world, data sets typically come split across many tables while most data analysis functions in R are designed to work with single tables of data. How to plot multiple data series in R? I usually use ggplot2 to plot multiple data series, but if I don't use ggplot2, there are TWO simple ways to plot multiple data series in R. I'm having trouble merging a sf object and a data frame by a common column i. A lot of packages in various fields make it really powerful. Compound layers combine data transformations with one or more simple layers. A random subset of a specified size is selected from a data set, the statistic in question is computed for this subset and the process is repeated a specified number of times. Note: Get unlimited access to the best stories on Medium — and support writers while you're at it. Vertically concatenate tables A and B. If you want to follow along with the examples below you will need the data that is used. Plot Methods for table Objects Description. Yes I want to get all the rows of the gene in the first file. If there is a one-to-one mapping between key values in Tleft and Tright , then join sorts the data in Tright and appends it to table Tleft. character) to character strings, and concatenates them (separating them by the string given by sep). Combine two tables in r. Combine highlight tables with other chart types. Each chromosome is usually represented using a different color. Merge() Function in R is similar to database join operation in SQL. With this add-in you can easily combine multiple worksheets into one, or merge several workbooks and csv files without opening them. The function combine uses abind to merge multi-dimensional arrays along the dimension depending on the color mode of x. 3 and includes additional capabilities for improved performance, reproducibility and platform support. On Tue, Jun 09, 2009 at 04:39:29PM +0200, Titus von der Malsburg wrote: > > is there a way to plot both of them in one plot, so that the bars for > > value "1" (dataA: 3, dataB: 5) would appear side by side, followed by > > the bars for value 2 etc. Merging datasets means to combine different datasets into one. Plot of Vector(s) 1. I have 2 plots (created using Base graphics) and 2 data frames that I would like to combine onto one sheet in a PDF. Welcome to the Plotly Help Center. This guide explains how to read data set in R, explore data in R, impute missing values in your dataset, visualize the dataset & merge in R, sort data frame, create histogram. Bootstrap Plot¶ Bootstrap plots are used to visually assess the uncertainty of a statistic, such as mean, median, midrange, etc. RNAseq analysis in R. Combine tables / dataframes in R Posted on November 21, 2017 November 21, 2017 Author Lars Christian Jensen 2 Recently, a colleague of mine was working on an the analysis of the results of a standarized test given to a few hundred students. Using Basic R To Plot Multiple Lines Or Points In The Same R Plot To plot two or more graphs in the same plot, you basically start by making a typical basic plot in R. function above. Introduction to the data. Base Graphics. A typical use case is to superpose a ListPlot of some data with a Plot of a curve to fit the data. Use the default interface installed with R such as RGui, R. Combine R Objects by Rows or Columns Description. Box-whisker plots. The R Function of the Day series will focus on describing in plain language how certain R functions work, focusing on simple examples that you can apply to gain insight into your own data. Introduction. R allows you to export datasets from the R workspace to the CSV and tab-delimited file formats. Combine two plots into one in ggplot2. The simple way to generate heat map plot is conditional formatting of cells. 2: Stem-&-Leaf Plots, Frequency Tables, and Histograms. table("data. Power BI is a business analytics service that delivers insights to enable fast, informed decisions. table package. Gephi is the leading visualization and exploration software for all kinds of graphs and networks. This post is organized in this order: I will first give a brief introduction to the 2010 census summary file 1 with urban/rural update. R for Ecologists R is exceptional statistical software for ecological analysis as it includes a broad range of analyses employed in ecological analysis, as well as numerous routines for exploratory data analysis (EDA). Draws the column freq of sysch as barplot. Plotting tables alsongside charts in R. Table function in R -table(), performs categorical tabulation of data with the variable and its frequency. A pirateplot a plot contained in the yarrr package written specifically by, and for R pirates The pirateplot is an easy-to-use function that, unlike barplots and boxplots, can easily show raw data, descriptive statistics, and inferential statistics in one plot. People can see the numbers and interpret them, there aren’t too many numbers to make sense of and the table is very compact. If you want to follow along with the examples below you will need the data that is used. Discussion on the usage of numeric, name and logical indexing. 2 Creating multiple plots with a loop. These notes serve as an introduction to R, but certainly is not comprehensive. Data Frames and Plotting 1 Working with Multiple Data Frames Suppose we want to add some additional information to our data frame, for example the continents in which the countries can be found. For large tables in R dplyr's function inner_join() is much faster than merge() Posted on April 30, 2014 by [email protected] Date function handles dates (without times); the contributed library chron handles dates and times, but does not control for time zones; and the POSIXct and POSIXlt classes allow for dates and times with control for time zones. 2) currently uses DataTables v1. Author(s) Daniel Chessel. Dotchart of variable importance as measured by a Random Forest Usage. Optionally, graph will plot the Lorenz-like curve. The Basics of R for Windows We will use the data set timetrial. CHARGEABLE F. 15 Easy Solutions To Your Data Frame Problems In R R data frames regularly create somewhat of a furor on public forums like Stack Overflow and Reddit. This will delete your current plots in the RStudio Plots Pane. In this tutorial, you learn how to load small data sets into R and perform simple computations. While these functions in Base R get the job done, the inconsistent syntax often trips up users. With this add-in you can easily combine multiple worksheets into one, or merge several workbooks and csv files without opening them. Custom function corstars() is used to combine the correlation coefficients and the level of significance. 0 Available NOW! SigmaStat is back with all new features and updated user interface. cbind: Combine R Objects by Rows or Columns Description Usage Arguments Details Value Data frame methods Dispatch References See Also Examples Description. If given just. Define merge. country names, etc. The symbol BB can be one of the values True or False. ggplot is a great visualization tool for R. Finding communities in networks is a common task under the paradigm of complex systems. Problem: How to plot a table of numbers such that the values are represented by color?. In the context of the SV visualization of human genomes. For Example counts <- table. Here we will talk about the base graphics and the ggplot2 package. These functions add convenient ways to display and arrange tabular data. It dispatches to either the merge. 10 has changed the parameter names. Therefore, if you produce multiple plots by submitting multiple plot requests and using the OVERLAY option, the plot requests must be ordered in the PLOT statement so that the plot request that produces the lowest line values is the first (leftmost) plot request, the plot request that produces the next lowest line values is the second plot. Continuing last month's theme, we again visit Excel - back by popular demand. If one of X or Y is a vector and the other is a matrix, then the matrix must have dimensions such that one of its dimensions equals the vector length. To arrange multiple ggplot2 graphs on the same page, the standard R functions - par() and layout() - cannot be used. table's methods. Surface plots are similar to Heat maps and require 3 input variables: X, Y, and Fill. The random package gives an access to them. These are generic functions with methods for other R classes. For example, suppose. Data structures in R are built from vectors and R’s operations are optimized to work with vectors. This document will use -merge- function. How do you plot confidence intervals in R based on multiple regression output? but there are only 4 results/estimates given in the table. The tutorial explains how to use COUNTIFS and COUNTIF formulas with multiple criteria in Excel based on AND as well as OR logic. If you are able to get your data tables into R, then you can apply the following method to manually create phyloseq instances of your own data. MERGE (Transact-SQL) 08/20/2019; 25 minutes to read +7; In this article. plot lässt sich mit diversen Parametern optional anpassen:. A resource for JMP software users. Technology-enabling science of the computational universe. txt") Reading from a file (2d) f <- read. The R Project homepage. This may happen because we have data from different sources we want to combine, or because we organize the code with variables that are easy to read, and then want to combine the variables. Therefore, if you try to combine the result of the concatenation with one of the input tall arrays, the arrays are. I spent many years repeatedly manually copying results from R analyses and built these functions to automate our standard healthcare data workflow. Set up some graphics to combine, stored in this example as p1, p2, p3, and p4:. I agree that this is the best way to create the 2-plot figure in the first place. Changes in the Regression Weights. h spe_stdd_le_raw D$ R_PARISC_LTOFF16DF (NoStack) KPXquotedblleftAdieresis-10 Allowcommands:%d F*HZh base_offset:0x%02x ={m! sdp_record_free KPXFedieresis-75 __version__='5. # Select the table from the. One of the best parts of R is its plotting capabilities. These are now located in the tables plots and species which we will join together in a moment. 4) MarinStatsLectures [Contents] Summary Statistics for Groups When dealing with grouped data, you will often want to have various summary statistics computed within groups; for example, a table of means and standard deviations. table:::merge. a secret plan made by several people to do something…. Table() function is also helpful in creating Frequency tables with condition and cross tabulations. merge is a generic function in base R. Alias of the ggsurvplot_combine() function. frame method or merge. The basic solution is to use the gridExtra R package, which comes with the following functions: grid. 2 (2013-09-25) and ggplot2 version 0. Definition 2: If R is R z,xy as defined above (or similarly for more variables) then the adjusted multiple coefficient of determination is. The details may change with different versions, but the principle. Annotating Regions. Yes I want to get all the rows of the gene in the first file. Feel free to suggest a chart or report a bug; any feedback is highly welcome. Again, we find ourselves using the extremely helpful dplyr package to answer this question and to create the underpinnings of our table to display. This course is an introduction to differential expression analysis from RNAseq data. They use hold on and plot the data series. The data frames must have same column names on which the merging happens. The intention is to teach students enough to be able to work with data frames and make graphs using ggplot2. , an inner join). Dash User Guide and Documentation. It’s a function inside the RemixAutoML package in the open-source programming language R. A data frame. The warning message found in the solution above is due to the small cell values in the contingency table. merge is a generic function in base R. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. test function against ctbl instead. Note: Get unlimited access to the best stories on Medium — and support writers while you're at it. You will find a number of examples for different data types – numbers, dates, text, wildcard characters, non-blank cells and more. The following is an introduction for producing simple graphs with the R Programming Language. Explore each dataset separately before merging. Value A table output element that can be included in a panel. fl s] area sr. Scholarly Search Engine Find information about academic papers by weblogr. to present summary statistics of the graph itself. Using Basic R To Plot Multiple Lines Or Points In The Same R Plot To plot two or more graphs in the same plot, you basically start by making a typical basic plot in R. frame" method. The results of the regression indicated the two predictors explained 81. This is a very simple table generator. How to combine two ggplots into one. As we saw in the second module in this series, categorical data are often described in the form of tables. New to Plotly? Plotly's R library is free and open source! Get started by downloading the client and reading the primer. Scatter plots¶ The scatter() function makes a scatter plot with (optional) size and color arguments. And, if you ask me the hexagonal bin plot just looks better visually. Merge more than two Shapefile in QGIS. Plot of Vector(s) 1. Simple Plot Examples in R Below are some simple examples of how to plot a line in R, how to fit a line to some points, and how to add more points to a graph. names=FALSE) I have found the tabulizer package to be wonderfully easy to use. But by using over (which), it can plot all kinds of groups. Easy reservation, each person welcomed and greeted upon arrival. Load required packages. R – Sorting a data frame by the contents of a column February 12, 2010 i82much Leave a comment Go to comments Let’s examine how to sort the contents of a data frame by the value of a column. Ideally, I’d like to have the cells containing “V1” merged together as one. Introduction. Basic syntax of merge function is as given. In this tutorial we will learn how to create a panel of individual plots - known as facets in ggplot2. From the second example you can observe that, the White color products are least selling in all the. legend() function in R makes graph easier to read and interpret in better way. This section describes the creation of frequency and contingency tables from categorical variables, along with tests of independence, measures of association, and methods for graphically displaying results. HT Sequence Analysis with R and Bioconductor. plot(x,y) ist die universelle Funktion zur Erzeugung von Streudiagrammen und Linienzügen aus den Vektoren x und y. We use pairs() function to create matrices of scatter plot in R. You can set up Plotly to work in online or offline mode. discuss how to change the layout of plots so you can put multiple plots on the same page a bit later I. The details may change with different versions, but the principle. 10/18/2019; 13 minutes to read +2; In this article. Use summarize, group_by, and tally to split a data frame into groups of observations, apply a summary statistics for each group, and then combine the results. With cowplot, this can be done very simply in one line with the function plot_grid and two parameters: nrow/ncol, labels. how to save multiple plots in one PDF file?. We'll also describe how to save the arranged plots and how to save multiple ggplots in one pdf file. R commands to analyze the data for all examples presented in the 2nd edition of The Analysis of Biological Data by Whitlock and Schluter are here. Plot Methods for table Objects Description. Jason Anastasopoulos plot(X,Y) - Will produce a scatterplot of the variables X and Y with X on the x-axisandY onthey-axis. Before requesting graphs, you must enable ODS Graphics with the ODS GRAPHICS ON statement. I try to avoid tables; figures are almost always better. Want to combine delimited files into one big file for analysis? This is easy with R! The table structure looks good: 26. These eigenvalues are commonly plotted on a scree plot to show the decreasing rate at which variance is explained by additional principal components. e there is an inner or outer join between both tables. If we supply a vector, the plot will have bars with their heights equal to the elements in the vector. The topics below are provided in order of increasing complexity. All graphs were produced using the R language and the add-on package ggplot2, written by Hadley Wickham. Departments. In R you use the merge() function to combine data frames. Take a sequence of vector, matrix or data frames and combine into rows of a common data frame with an additional column source indicating the source object. 0 Available NOW! SigmaStat is back with all new features and updated user interface. To merge two data frames (datasets) horizontally, use the merge function. Today, I will discuss the table function. how to save multiple plots in one PDF file?. It has a nicely planned structure to it. Origin is the data analysis and graphing software of choice for over half a million scientists and engineers in commercial industries, academia, and government laboratories worldwide. Combine Plots in Same Axes. Visual Representation of Multiple Regression. Again, we find ourselves using the extremely helpful dplyr package to answer this question and to create the underpinnings of our table to display. mosaic plot in R : Mosaic plot is a graphical representation of two way contingency table which represents the relationship among two or more categorical. However, it can be used to add lines() on an existing graph. I like the ConfusionMatrix…. This chart is a variation of a Histogram that uses kernel smoothing to plot values, allowing for smoother distributions by smoothing out the noise. Similar to the histogram, the density plots are used to show the distribution of data. (4 replies) Hi R user, I could not combine two tables. Origin is the data analysis and graphing software of choice for over half a million scientists and engineers in commercial industries, academia, and government laboratories worldwide. If file is a URL, both the original file and separate pages are stored in the R session's temporary directory. 2: Stem-&-Leaf Plots, Frequency Tables, and Histograms. Optionally, roctab can plot the ROC curve, display the data in tabular form, and produce Lorenz-like plots. Previously, we described the essentials of R programming and provided quick start guides for importing data into R. Because I work with the tidyverse, I wanted to produce these plots with ggplot2. Example: Interaction plot with ToothGrowth data. If you are new to both R and Machine Learning Server, this tutorial introduces you to 25 (or so) commonly used R functions. Steiger Multiple Plots in One Graph R can also automatically compile several graphics into one array. Each column in the table is an atomic vector in the list. If a plot was created it can be customized using ggplot2 commands (e. How can I combine multiple columns when computing mean and standard deviation in R? What is the best way to implement ARIMA in R? How can I create the least squares regression (Minimum mean square error) line in R?. Hi there, I would like to combine several histograms into one plot, but keep the conditional coloring i am using in the single histograms. since Excel has an excellent table merge of it's own in power query (or in the excel 2016 and beyond "get and transform" tab in the data ribbon) - i'll use that to illustrate and explain so it's very clear what R is doing, which is exactly the same as that (which. 9, and DataTables v1. For example, to search for previous instances of the plot function simply type plot and then Ctrl+Up: Console Title Bar. Description Usage Arguments Details Value FURTHER ARGUMENTS Plot title and axis labels Legend title, labels and position Axis limits, breaks and scales Confidence interval P-value Median survival Censor points Survival tables Survival plot height Number of censored subjects barplot Other graphical parameters Author(s) Examples. Joiner, Statistics Department, The Pennsylvania State University 1976 Acknowledgments: Helpful assistance from Dr. Then reset the hold state to off. 0 it is proportional to the length of the answer, which can be much less if there are few matches (for example, only 1–1 matches). plot definition: 1. If it isn't suitable for your needs, you can copy and modify it. Dotchart of variable importance as measured by a Random Forest Usage. I've been using ggplot2's facet_wrap and facet_grid feature mostly because multiplots I've had to plot thus far were in one way or the other related. Normal Probability Plots and Tests for Normality Thomas A. Unless the word FREE does not appeal to your pocketbook,Then why not give Ubuntu a try?. In a simple Shiny application, reactive sources are accessible through the input object, and reactive endpoints are accessible through the output object. It dispatches to either the merge. ) Now select the browse input directory to the folder you created which include all Shapefile that you need to copy. Then I will show how to extract data step by step using R and data. This is a. Expressions. For the subsequent plots, do not use the plot() function, which will overwrite the existing plot. csv(dataset, "filename. Steiger Multiple Plots in One Graph R can also automatically compile several graphics into one array. New option combine = TRUE is now available in the ggsurvplot() function to combine a list survfit objects on the same plot. The ratio of these pairs of columns gives me a meaningful number, that I have to plot for each of the annotation. You may want to combine data from different sources in your analysis. This entire merging process can be made faster using fread to read tables, and data. Tips and tricks for working with images and figures in R Markdown documents Posted on June 19, 2017 by [email protected] Merging Data Adding Columns. R for Ecologists R is exceptional statistical software for ecological analysis as it includes a broad range of analyses employed in ecological analysis, as well as numerous routines for exploratory data analysis (EDA). However, it is also designed to work seamlessly with Shiny apps, which lets you combine Crosstalk widget interactions with base plots, ggplot2, and anything else you can do with Shiny. In this post we will see how to add. These links will take you to the appropriate section in the tutorial. Shiny comes with a variety of widgets for rapidly building user interfaces and does all of the heavy lifting in terms of setting up interactive user interfaces. NCAR is sponsored by the National Science Foundation; Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation. Grovecrest 6th Grade Math. R stores tabular data as a data frame, a list of atomic vectors arranged to look like a table. Details ``Attribute'' arguments such as col, pch, lty, etc, are recycled if necessary. Sometimes you have x and y data that is also broken down by a given factor. I am having trouble trying to merge two shapefiles in R. Beispiele für mit plot generierte Graphiken bieten die Graphikbeispiele. frame" method. Starting R users often experience problems with this particular data structure and it doesn't always seem to be straightforward. This entire merging process can be made faster using fread to read tables, and data. Save the file as csv and load back to get rid of pivot table format, but reorganized data. Top 50 ggplot2 Visualizations - The Master List (With Full R Code) What type of visualization to use for what sort of problem? This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. You can combine lists like the one described above into a table using the matrix command. Note that the columns plot_type, taxa, genus, and species are missing. Tom Short’s R reference card. As said above, if you are accessing using information link then that can be done there. Recall that the core idea behind the split-apply-combine strategy is to. Options Main lorenz speciﬁes that Gini and Pietra indices be reported. The basic idea is that you provide the input data/formula and pgfplots does the rest. Continuing last month's theme, we again visit Excel - back by popular demand. points is a generic function to draw a sequence of points at the specified coordinates. Programming in R The R language Data structures The "merge" command joins two data frames -- it is the same JOIN as in Databases. Lets see usage of R table() function with some examples. Also, why not check out some of the graphs and plots shown in the R gallery, with the accompanying R source code used to create them. If the rule for a relation between two variables is given, then the graph of the relation can be drawn by constructing a table of values. httr - A set of useful tools for working with http connections. The analysis of categorical data always starts with tables. This means that, first you have to use the function plot() to create an empty graph and then use the function lines() to add lines. But add the gene name in a new column. Alias of the ggsurvplot_combine() function. Plotting tables alsongside charts in R. R is a very powerful tool for programming but can have a steep learning curve. col: logical. R function: ggdensity() [in ggpubr] a plot of the summary table containing the descriptive statistics (mean, sd, … ) of Sepal. com Using the merge() function in R on big tables can be time consuming. This page is intended to be a help in getting to grips with the powerful statistical program called R. Tom Short’s R reference card. 05, and determine whether there is a linear correlation between the two variables. 2 Creating multiple plots with a loop. The details may change with different versions, but the principle. Similar to the histogram, the density plots are used to show the distribution of data. These are generic functions with methods for other R classes. Unfortunately R is not an unbiased estimate of the population multiple correlation coefficient, which is evident for small samples. To export a dataset named dataset to a CSV file, use the write. Today, I will discuss the table function. An R Graphical User Interface (GUI) for Everyone Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. Tabular data is usually formatted outside the graphics device, e. Explain the difference between point, line, and polygon vector elements. Using Basic R To Plot Multiple Lines Or Points In The Same R Plot To plot two or more graphs in the same plot, you basically start by making a typical basic plot in R. The stem-and-leaf plot is an excellent way to start an analysis. Let’s create a simple box plot using the boxplot() command, which is easy to use. This provides somewhat similar functionality to 'par(mfrow=c(x,y))' which would allow multiple plots with the base plot function. The following is an introduction for producing simple graphs with the R Programming Language. Parameter. paste converts its arguments (via as. Specifically, mathematical symbols or entire equations may be needed when building plots. It divides input array in two halves, calls itself for the two halves and then merges the two sorted halves. R for Ecologists R is exceptional statistical software for ecological analysis as it includes a broad range of analyses employed in ecological analysis, as well as numerous routines for exploratory data analysis (EDA). This function and its methods provide somewhat robust methods for extracting data from HTML tables in an HTML document. Multiplottr allows you to plot multiple locations on a map, save and share on Google Maps. formula and surv_fit functions: ggsurvplot_list ggsurvplot_facet ggsurvplot_group_by ggsurvplot_add_all ggsurvplot_combine See the documentation for each function to learn how to control that aspect of the ggsurvplot (). To show only correlations above a certain value choose a non-zero value in the numeric input between 0 and 1 (e. table produced the same type of output as the one produced by ggplot. On Tue, Jun 09, 2009 at 04:39:29PM +0200, Titus von der Malsburg wrote: > > is there a way to plot both of them in one plot, so that the bars for > > value "1" (dataA: 3, dataB: 5) would appear side by side, followed by > > the bars for value 2 etc. Take a sequence of vector, matrix or data-frame arguments and combine by columns or rows, respectively. Efficient way to merge multiple dataframes in R you mean "fast," check out the data. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: